Banupriya N | Computer Science | Young Researcher Award

Published-on by Indian Scientist

Dr. Banupriya N | Computer Science | Young Researcher Award

R.M.K. Engineering College, India

Dr. N. Banupriya is an accomplished academician and researcher in Computer Science and Engineering, currently serving as an Assistant Professor at R.M.K. Engineering College. She holds advanced degrees in Computer Science and is pursuing doctoral research, reflecting her commitment to academic excellence. With extensive teaching experience, she has contributed significantly to research in Artificial Intelligence, Machine Learning, Data Analytics, and Brain-Computer Interface. She has published in reputed journals and conferences and received recognitions including Infosys Campus Connect certifications. Her work demonstrates dedication to innovation, impactful research, and academic leadership.

Citation Metrics (Scopus)

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12

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Featured Publications

Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Vaijayanthimala Jayavel | Artificial Intelligence | Best Researcher Award

Dhirajlal Gandhi College of Technology| India

Dr. J. Vaijayanthimala is a dynamic academic and researcher recognized for her extensive contributions in computer science and engineering, particularly in artificial intelligence, image processing, sensor networks, and intelligent computing systems. Her Google Scholar profile records 16 total citations with an h-index of 2 and i10-index of 0, reflecting her growing scholarly influence across interdisciplinary domains. She has published widely in reputed journals including the ECS Journal of Solid State Science and Technology and Journal of The Electrochemical Society, with research spanning photonic biosensors, AI-based news aggregation, virtual reality accessibility, and smart agriculture. She has co-authored and authored multiple technical books on AI, machine learning, database systems, and data structures, demonstrating her commitment to quality education and knowledge dissemination. Her innovations include patents in automated voice recognition and eco-friendly 3D printing technology. A recipient of the “Innovative Technologist and Dedicated Teaching Professional Award,” she actively contributes as a reviewer for Springer Nature and Elsevier journals. With research interests that merge intelligence, automation, and sustainable technology, Dr. Vaijayanthimala continues to advance computational research and inspire the next generation of scholars.

Profile: Google Scholar

Featured Publications

Vaijayanthimala, J., Pon Bharathi, A., Ramkumar Raja, M., & Arun Kumar, U. (2024). Enhanced sensing of diseased blood samples through one-dimensional MgO-SiO2 photonic crystal sensor. Journal of The Electrochemical Society, 171(10), 107505.

V.M. Manish, J. Vaijayanthimala. (2014). Diminution of packet drop by efficient selection of network route in MANET. International Journal of Computer Science Information Technology (IJCSIT), 5, 1852–1855.

Vaijayanthimala, J., Vaishnavi, K., & Arun Kumar, U. (2025). High-sensitivity terahertz metasensor for cervical cancer diagnosis: Graphene modulation and XGBoost-assisted optimization. Sensors International, 2666–3511, Article 2666.

Vaijayanthimala, J., Alam, M.K., Shqaidef, A., & Mahmoud, O. (2024). Performance evaluation of refractive index biosensor in THz regime for clinical applications: A simulation approach. ECS Journal of Solid State Science and Technology, 13(10), 107005.

Vaijayanthimala, J., & Padma, T. (2019). Synthesis score level fusion based multifarious classifier for multi-biometrics applications. Journal of Medical Imaging and Health Informatics, 9(8), 1673–1680.

Bappa Mukherjee | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Bappa Mukherjee | Artificial Intelligence | Best Researcher Award

Wadia Institute of Himalayan Geology, Dehradun | India

Prof. Motireddy Srinivasulu Reddy is a distinguished academician and researcher recognized for his impactful work in toxicology. He has contributed significantly to advancing knowledge in the field through teaching, research, and scholarly publications. With a strong commitment to academic excellence, he has guided numerous students and inspired them toward scientific inquiry. His professional journey reflects dedication, innovation, and leadership in research. Prof. Reddy has earned respect in the academic community for his integrity and contributions to science, making him a role model for aspiring researchers. His work continues to benefit both academia and society at large.

Professional Profiles

Scopus | Orcid

Education

Prof. Motireddy Srinivasulu Reddy pursued higher education in the field of science and specialized in toxicology. His academic journey provided him with strong theoretical foundations and practical expertise in analyzing chemical substances and their impact on living organisms. Through rigorous academic training, he developed an in-depth understanding of toxicological processes and advanced laboratory techniques. His education laid the groundwork for his research career, where he applied scientific methodologies to address real-world problems. He has continuously expanded his knowledge base through academic research, publications, and collaborations, reflecting his dedication to lifelong learning and excellence in scientific advancement.

Professional Experience

Prof. Motireddy Srinivasulu Reddy has gained extensive professional experience as a researcher, educator, and mentor. He has been actively engaged in teaching, guiding students in toxicology, and contributing to curriculum development in the field of science. His research has focused on analyzing toxic substances, studying their environmental and health impacts, and proposing innovative solutions. Alongside academic roles, he has contributed to scientific forums, conferences, and collaborative research initiatives. His professional experience demonstrates a balance between teaching, research, and service, making him an integral contributor to academic institutions and scientific communities committed to advancing toxicological studies.

Awards and Recognition

Prof. Motireddy Srinivasulu Reddy has received awards and recognition for his valuable contributions in toxicology and scientific research. His achievements highlight his dedication to innovation and knowledge dissemination within the academic and research community. He has been honored for his outstanding performance in research, publications, and scholarly impact. Such recognitions reflect the high regard his peers hold for his expertise and commitment to excellence. These awards not only validate his academic and research efforts but also encourage him to continue contributing toward solving scientific challenges. His recognition demonstrates the significance of his role in advancing toxicology.

Research Skills

Prof. Motireddy Srinivasulu Reddy possesses strong research skills in toxicology, focusing on the analysis of chemical effects, biological interactions, and environmental implications. His expertise includes conducting laboratory experiments, applying advanced methodologies, and interpreting scientific data to derive meaningful outcomes. He is proficient in designing research frameworks, identifying innovative solutions, and contributing to evidence-based scientific knowledge. His ability to integrate theoretical principles with practical approaches has enabled him to publish impactful work. Additionally, his skills extend to mentoring students and guiding them in developing their research potential, thereby strengthening the academic and scientific research community.

Notable Publications

Earthquake prediction using machine learning perspectives in Himalayan seismic belt and its surroundings
Author: Bappa Mukherjee, Ritesh Lal Shaw, Mukat Lal Sharma, Kalachand Sain
Journal: Journal of Asian Earth Sciences
Year: 2025

3D U-Net assisted fault probability prediction from seismic volume in Dibrugarh oil field, upper Assam shelf, NE India
Author: Bappa Mukherjee, Soumitra Kar, Kalachand Sain
Journal: Physics and Chemistry of the Earth, Parts A/B/C
Year: 2025

Machine learning assisted crustal velocity proxy: A case study over the Tibetan Plateau and its surroundings
Author: Bappa Mukherjee, P.K. Gautam, Kalachand Sain
Journal: Journal of Asian Earth Sciences
Year: 2024

Machine learning assisted gas hydrate saturation proxy: A case study from KG basin, India
Author: S. Konar, Bappa Mukherjee, Kalachand Sain
Journal: Himalayan Geology
Year: 2024

Conclusion

Prof. Motireddy Srinivasulu Reddy has established himself as a respected figure in academia and research through his dedication to toxicology and scientific excellence. His educational background, professional experience, awards, and research skills demonstrate his commitment to advancing the frontiers of knowledge. By contributing to teaching, research, and mentoring, he has played an essential role in shaping the future of students and researchers. His work serves as an inspiration for the academic community, reflecting values of hard work, integrity, and innovation. Prof. Reddy continues to be a driving force in advancing scientific inquiry and societal development.

Sri Vasavi Chandu | Computer Science | Best Researcher Award

Published-on by Indian Scientist

Ms. Sri Vasavi Chandu | Computer Science | Best Researcher Award

SRM University AP, India

Author Profile

SCOPUS

🎓 EARLY ACADEMIC PURSUITS

Sri Vasavi Chandu began her academic journey in the field of Computer Science and Engineering with a consistent track record of academic excellence. During her undergraduate studies at SRM University, AP, she demonstrated a strong aptitude for core computing principles, programming, and data science. Her curiosity-driven approach during her formative years laid the foundation for her engagement in cutting-edge research, innovation projects, and interdisciplinary collaboration.

🏢 PROFESSIONAL ENDEAVORS

Chandu is currently an Associate Software Engineer at Accenture, where she works in the domain of SAP ABAP and SAP HANA. Her responsibilities include development, testing, and debugging of enterprise-level ABAP applications, working across modules such as Smart Forms, ALE, IDOC, ALV, Function Modules, CDS Views, and Object-Oriented Programming in SAP environments.

She has also interned with:

  • Oasis Infobyte Pvt. Ltd – where she developed responsive web pages using HTML, CSS, and JavaScript, aligning with modern frontend design practices.

  • SRM University Research Internship – contributing to advanced research in relation extraction using knowledge graphs.

  • Twowaits Technologies Pvt. Ltd – where she implemented a cryptography-based encryption-decryption tool and built structured assessment platforms using Python.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Chandu’s research interests span multiple domains in computer science, including:

  • Federated Learning

  • Natural Language Processing

  • Cybersecurity and Intrusion Detection

  • Machine Learning Algorithms

  • Knowledge Graphs and Information Retrieval

Her major projects include:

  • Fake News Detection using Federated Learning: Implemented advanced models like LSTM, BERT, and SVM, and deployed a verification website.

  • Music Genre Prediction using Machine Learning: Built multi-model classifiers and used PCA for effective dimensionality reduction.

  • ArtVista Art Gallery Website: Designed a dynamic, feedback-driven art portfolio website using frontend technologies.

  • Event Management System: Developed a backend-intensive platform using MySQL with optimized data storage.

  • Advanced Calculator: Built an intelligent calculator in Python supporting complex operations and robust error handling.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Chandu has contributed to high-quality publications in reputable international journals and conferences:

  • 📄 “Federated Learning in the Detection of Fake News: A Survey” – Elsevier

  • 📄 “Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection” – Springer Nature

  • 📄 “A Survey on Extraction of Relations using Knowledge Graphs in Various Applications” – IEEE

She has also completed professional programs and certifications including:

  • J.P. Morgan Software Engineering Virtual Experience on Forage

  • 21st Century Core Employability Skills Certificate by Skill AP (APSSDC)

  • Participant in Microsoft’s AI Skills Fest, which contributed to a Guinness World Record

🌍 IMPACT AND INFLUENCE

Chandu’s work aligns with global needs for responsible AI, misinformation control, and decentralized data protection. By tackling contemporary issues like fake news detection and network security, she aims to develop transparent, ethical, and explainable AI models. Her participation in international platforms, including Microsoft’s AI Skills Fest, underscores her commitment to leveraging technology for societal good.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Sri Vasavi Chandu is driven by a vision to bridge academic research and real-world application. She is actively shaping her future contributions toward building secure, decentralized, and trustworthy AI systems. With an expanding portfolio of AI-driven solutions and a strong foundation in enterprise technologies, she is poised to contribute to:

  • Federated and Edge AI Systems

  • AI for Social Impact

  • Intelligent Information Extraction

  • Responsible Machine Learning Practices

 ✅CONCLUSION

A driven technologist, research contributor, and solution architect in the making, Sri Vasavi Chandu represents a new generation of engineers who combine technical depth with social consciousness. Her trajectory showcases a commitment to learning, interdisciplinary problem-solving, and real-world innovation. Her future promises impactful contributions across both academia and industry.

🔬NOTABLE PUBLICATION:

Federated Learning in the Detection of Fake News: A Survey
Author: Sri Vasavi Chandu
Journal: Elsevier
Year: 2025

Evaluating the Effectiveness of Machine Learning Algorithms for Network Intrusion Detection
Author: Sri Vasavi Chandu
Journal: Springer Nature Switzerland
Year: 2024

A Survey on Extraction of Relations using Knowledge Graphs in Various Applications
Author: Sri Vasavi Chandu
Journal: IEEE
Year: 2023

Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Published-on by Indian Scientist

Dr. Atul Kumar Gupta | Artificial Intelligence | Best Researcher Award

Sharda University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Dr. Atul Kumar Gupta laid a strong academic foundation by pursuing a Ph.D. in Biotechnology, coupled with a Post Graduate Diploma in Business Administration (PGDBA) with a specialization in Operations Management. His multidisciplinary education enabled him to integrate scientific rigor with operational precision, allowing him to bridge the gap between research and applied industrial processes effectively.

🏢 PROFESSIONAL ENDEAVORS

With over a decade of professional excellence, Dr. Gupta has served in leading roles across prestigious institutions. He currently holds the position of Deputy General Manager at Sharda Research and Analytical Foundation and serves as Head of the Central Instrumentation Facility at Sharda University, Greater Noida.

Previously, he was associated with reputed organizations such as:

  • Vimta Labs Ltd.

  • CTC Analytical Services

  • Intertek India Pvt. Ltd.

He has managed various departments, including Analytical Chemistry and Microbiology, providing high-precision testing services for food safety and environmental compliance.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN ARTIFICIAL INTELLIGENCE

While rooted in biotechnology and analytical sciences, Dr. Gupta’s current research directions include integrating Artificial Intelligence (AI) in analytical instrumentation and data processing. His approach leverages omics technologies (genomics, proteomics, metabolomics) supported by AI tools to:

  • Enhance predictive analytics in food safety.

  • Develop automated diagnostic frameworks.

  • Streamline big data evaluation for agricultural biotechnology.

His innovative efforts aim to merge biological systems understanding with AI to drive precision agriculture and intelligent food analysis.

🏅 ACCOLADES AND RECOGNITION

  • Young Scientist Award by the Society of Plant Biochemistry and Biotechnology

  • Expert Review Panel Member at AOAC (Bromoform, ETO/ECH)

  • Certified Food Analyst under FSSAI regulations

  • NABL Empanelled Technical Assessor (ISO/IEC 17025:2017)

  • Invited Trainer for HPLC by Ministry of Public Health & GAIN (Afghanistan)

  • Member of prestigious bodies: Indian Science Congress, AOCS, AOAC Southeast Asia, Cereals & Grains Association, etc.

🌍 IMPACT AND INFLUENCE

Dr. Gupta’s influence extends across academia, industry, and global development platforms:

  • Invited twice to France for specialized training.

  • Appointed as Trainer by the Ministry of Public Health, in collaboration with GAIN Afghanistan, to train professionals on HPLC and its applications in the food and pharma industries.

  • Conducted FSSAI-sponsored workshops and seminars that bridged scientific research with regulatory frameworks.

  • Actively engaged as a NABL Technical Assessor and FSSAI Food Analyst, ensuring analytical laboratories meet ISO/IEC 17025:2017 standards.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Dr. Gupta’s legacy lies in his unique ability to merge analytical chemistry, biotechnology, and AI-powered solutions for food safety and agricultural sustainability. He continues to work toward:

  • Developing automated detection systems for contaminants.

  • Advancing AI-integrated omics platforms.

  • Promoting global food quality standards through scientific diplomacy.

With deep expertise in mycotoxins, pesticides, antibiotics, heavy metals, nutraceuticals, and health supplements, he is shaping the future of safe and sustainable food systems.

 ✅CONCLUSION

Dr. Atul Kumar Gupta represents the new wave of translational scientists who transform research into real-world impact. With a balanced blend of scientific scholarship, leadership in analytical sciences, and a forward-looking embrace of AI, Dr. Gupta is leaving a significant imprint on the fields of biotechnology, food safety, and environmental monitoring.

🔬NOTABLE PUBLICATION:

Nutraceutical Value of Finger Millet [Eleusine coracana (L.) Gaertn.], and Their Improvement Using Omics Approaches
Authors: A. Kumar, M. Metwal, S. Kaur, A.K. Gupta, S. Puranik, S. Singh, M. Singh, …
Journal: Frontiers in Plant Science
Year: 2016

De Novo Assembly and Characterization of Developing Spikes Transcriptome of Finger Millet (Eleusine coracana): a Minor Crop Having Nutraceutical Properties
Authors: A. Kumar, V.S. Gaur, A. Goel, A.K. Gupta
Journal: Plant Molecular Biology Reporter
Year: 2015

Differential Expression of PBF Dof Transcription Factor in Different Tissues of Three Finger Millet Genotypes Differing in Seed Protein Content and Color
Authors: N. Gupta, A. Kumar Gupta, N.K. Singh, A. Kumar
Journal: Plant Molecular Biology Reporter
Year: 2011

Antibacterial and Antifungal Activity in Leaf, Seed Extract and Seed Oil of Seabuckthorn (Hippophae salicifolia D. Don) Plant
Authors: A.K. Sanjay Mohan Gupta, Atul K. Gupta, Zakwan Ahmed
Journal: Journal of Plant Pathology & Microbiology
Year: 2011

In Vivo Evaluation of Hypoglycemic Activity of Aloe spp. and Identification of Its Mode of Action on GLUT-4 Gene Expression In Vitro
Authors: R. Kumar, B. Sharma, N.R. Tomar, P. Roy, A.K. Gupta, A. Kumar
Journal: Applied Biochemistry and Biotechnology
Year: 2011

Understanding the Differential Nitrogen Sensing Mechanism in Rice Genotypes Through Expression Analysis of High and Low Affinity Ammonium Transporter Genes
Authors: V.S. Gaur, U.S. Singh, A.K. Gupta, A. Kumar
Journal: Molecular Biology Reports
Year: 2012

Manish Kumar Chandan | Computer Science | Best Researcher Award

Published-on by Indian Scientist

Mr. Manish Kumar Chandan | Computer Science | Best Researcher Award

Guru Ghasidas Vishwavidyalaya, bilaspur c.g, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Manish Kumar Chandan’s academic foundation was laid with a B.Sc. in Computer Science from Atal Bihari Vajpayee Vishwavidyalaya (ABVV), Bilaspur, completed in 2020. Driven by a deep interest in computational systems and intelligent algorithms, he pursued a Master of Computer Applications (M.C.A.) from Guru Ghasidas Vishwavidyalaya (GGV), a Central University, graduating in 2022. His academic excellence and curiosity in data-driven systems led him to enroll in Ph.D. in Computer Science and IT at the same university, marking the beginning of a promising research journey.

🏢 PROFESSIONAL ENDEAVORS

Currently serving as a Research Scholar at the Department of Computer Science and IT, GGV Bilaspur, Manish has been actively involved in academic research and machine learning application development. His professional projects include Gold Price Prediction and Air Pollution Forecasting, both developed using ML/DL models and real-time datasets from CPCB. He also holds certifications in advanced AI, data science, and deep learning, demonstrating a strong commitment to continual learning and innovation.

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Manish’s core research area revolves around Natural Language Processing (NLP), Multilingual Sentiment Analysis, and Hybrid Deep Learning Architectures. His Ph.D. research focuses on “Code-Mix Sentiment Analysis”, addressing the growing complexities of multilingual social media data. His contributions include:

  • A published survey paper on Sentiment Analysis Techniques, covering frameworks, challenges, and future directions.

  • Proposed an Attention-Augmented CNN–BiLSTM model for Hindi sentiment classification with a notable 92.81% accuracy.

  • Developed a hybrid Word2Vec + DistilBERT-based CNN–BiLSTM model, improving cross-domain sentiment classification on IMDb and Yelp datasets.

🌍 IMPACT AND INFLUENCE

Though in the early stage of his research career, Manish’s work already shows potential for real-world applications in social media monitoring, policy sentiment mapping, and digital language processing. His approaches aim to support multilingual populations, especially in India, by bridging the gap in code-mixed sentiment interpretation. With the rise of digital platforms, such research can aid governments, businesses, and healthcare sectors in public opinion analysis and customer behavior forecasting.

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Manish aims to develop a comprehensive framework for Multilingual and Code-Mixed Sentiment Analysis capable of adapting to low-resource languages. Future contributions will target:

  • AI tools for regional languages

  • Emotion detection in conversational AI

  • Cross-lingual and domain adaptation methods

He also plans to mentor junior researchers, publish in top-tier journals (e.g., ACL, EMNLP, IEEE-TKDE), and contribute to open-source NLP models for Indian languages.

 ✅CONCLUSION

Manish Kumar Chandan is a promising young researcher in the field of Computer Science, making meaningful strides in AI, NLP, and Multilingual Sentiment Analysis. His academic rigor, innovative mindset, and socially impactful research make him a deserving candidate for recognition under the Indian Scientist Award. As he advances his research journey, Manish is poised to become a key contributor to India’s AI innovation ecosystem.

🔬NOTABLE PUBLICATION:

A comprehensive survey on sentiment analysis: Framework, techniques, and applications

Authors: M.K. Chandan, S. Mandal

Journal: Computer Science Review

Year: 2025

BADDAM ANIL KUMAR | Artificial Intelligence | Research Innovation Award

Published-on by Indian Scientist

Dr. BADDAM ANIL KUMAR | Artificial Intelligence | Research Innovation Award

VIT-AP UNIVERSITY, ANDHRA PRADESH- India

Author Profile

Early Academic Pursuits

Mr. B. Anil Kumar began his academic journey with a Bachelor’s degree in Electronics and Communications Engineering from JNTU College of Engineering, Hyderabad, Telangana. This foundational education provided him with the necessary skills and knowledge in electronics and communication systems, laying the groundwork for his future pursuits in advanced studies.

Professional Endeavors

Building on his undergraduate education, Mr. Anil Kumar pursued and successfully completed a Master’s degree in VLSI System Design from Aurora College of Engineering, JNTUH, Hyderabad, Telangana. This specialization equipped him with expertise in Very Large Scale Integration (VLSI) technologies, enhancing his proficiency in designing complex integrated circuits and systems.

Currently, Mr. Anil Kumar is engaged in pursuing a Ph.D. in the School of Electronics Engineering (SENSE) at VIT-AP University in Amaravati, AP, India. His doctoral research focuses on the intersection of Image Processing, Machine Learning, and Deep Learning, reflecting his commitment to advancing the field of electronics and computational intelligence.

Contributions and Research Focus

Mr. Anil Kumar’s research interests primarily revolve around Image Processing, Machine Learning, and Deep Learning. These areas represent critical domains within the broader spectrum of artificial intelligence and computational intelligence, aimed at developing algorithms and systems that can analyze, interpret, and extract meaningful information from digital images. His contributions in these fields are expected to contribute significantly to applications ranging from healthcare diagnostics to industrial automation and beyond.

Accolades and Recognition

Mr. Anil Kumar has garnered recognition for his scholarly contributions and expertise in electronics and computational intelligence. His role as a reviewer for well-known reputed journals underscores his standing within the academic community, where his insights and evaluations help shape the discourse and quality of research publications.

Impact and Influence

Through his academic pursuits and professional endeavors, Mr. Anil Kumar has already begun to make a notable impact on the fields of electronics engineering and computational intelligence. His research outputs and contributions are anticipated to influence the development of advanced technologies and methodologies in image processing and machine learning, thereby shaping future innovations in these domains.

Legacy and Future Contributions

Looking ahead, Mr. Anil Kumar’s legacy is poised to encompass significant advancements in image processing and machine learning technologies. His future contributions are expected to extend beyond academic research to practical applications, potentially impacting various industries and sectors. By continuing to explore new avenues in computational intelligence and fostering interdisciplinary collaborations, Mr. Anil Kumar aims to leave a lasting imprint on the field, advancing both theoretical knowledge and practical implementations in electronics engineering.

Citations

A total of 32 citations for his publications, demonstrating the impact and recognition of his research within the academic community.

  • Citations         32
  • h-index           2
  • i10-index        1

Notable Publications 

Implementation of 64-Bits Radix – 8 IFFT for Computation Speed by IDIF using Verilog

B.Anil Kumar, M. Naveen Reddy, Vamshi Kollipara, B. Rajesh,International Journal of Recent Technology and Engineering (IJRTE)

Caffe-MobileNetV2 based Tomato Leaf Disease Detection

B.Anil Kumar, Mohan Bansal, Rajeev Sharma
2023 3rd International conference on Artificial Intelligence and Signal …

Hardware Implementation of 64-Bits Data by Radix-8 FFT/IFFT for High Speed Applications

B.Anil Kumar, Mohan Bansal
2022 8th International Conference on Signal Processing and Communication …