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This book presents high-quality research papers presented at the 3rd International Conference on Intelligent Computing and Advances in Communication (ICAC 2020) organized by Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2020. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
This book presents high-quality research papers presented at the 3rd International Conference on Intelligent Computing and Advances in Communication (ICAC 2020) organized by Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India, in November 2020. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
Swagatam Das received his B. E. Tel. E., M. E. Tel. E (Control Engineering specialization), and Ph. D. degrees, all from Jadavpur University, India, in 2003, 2005, and 2009, respectively. Currently serving as an Associate Professor at the Electronics and Communication Sciences Unit of the Indian Statistical Institute, Kolkata, India, his research interests include evolutionary computing, pattern recognition, multi-agent systems, and wireless communication. Dr. Das has published more than 300 research articles in peer-reviewed journals and international conference proceedings. He is the founding co-editor-in-chief of Swarm and Evolutionary Computation, an international journal from Elsevier. He has also served as or is serving as an associate editor of various journals, including Pattern Recognition, Neurocomputing, Information Sciences, IEEE Access, and so on. He is an editorial board member of numerous other journals, including Progress in Artificial Intelligence, Applied Soft Computing, and Artificial Intelligence Review. Dr. Das is the recipient of the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE), and of the 2015 Thomson Reuters Research Excellence India Citation Award for the highest cited researcher from India in the Engineering and Computer Science category for the period 2010 to 2014.
Dr. Mihir Narayan Mohanty received his M.Tech. in Communication System Engineering from Sambalpur University, Odisha, and his Ph.D. in Applied Signal Processing from Biju Patnaik University of Technology, Odisha. He is currently serving as a Professor at the Department of Electronics and Communication Engineering, Institute of Technical Education and Research (FET), Siksha ‘O’ Anusandhan (Deemed University), Bhubaneswar, Odisha. With 24 years of teaching experience, his research interests include intelligent signal and image processing, digital signal/image processing, biomedical signal processing, microwave communication engineering, and antennas. He has published over 300 research papers in national and international journals and conference proceedings, and has received various national and international awards for his contributions. He is an active member of numerous professional societies, e.g., the IEEE, IET, IETE, ISTE, EMC & EMI Engineers India, etc. Dr. Mohanty is also an active reviewer for the IEEE, Elsevier, Springer, and several international conferences.
Inhaltsangabe
Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques.- Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 4. Realization of a vehicular robotic system using the principle of photonics.- Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application.- Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models.- Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor.- Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery.- Chapter 9. Apple fruit disease detection and classification using k-means clustering method.- Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems.
Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques.- Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 4. Realization of a vehicular robotic system using the principle of photonics.- Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application.- Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models.- Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor.- Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery.- Chapter 9. Apple fruit disease detection and classification using k-means clustering method.- Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems.
Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques.- Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 4. Realization of a vehicular robotic system using the principle of photonics.- Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application.- Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models.- Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor.- Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery.- Chapter 9. Apple fruit disease detection and classification using k-means clustering method.- Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems.
Chapter 1.Classification and Detection of Leaves using Different Image processing Techniques.- Chapter 2. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 3. Covid-19 Detection :An Approach Using X-Ray Images and Deep Learning Techniques.- Chapter 4. Realization of a vehicular robotic system using the principle of photonics.- Chapter 5. A Modified Hybrid Planar Antenna for Cognitive Radio Application.- Chapter 6. Detection of Broken and Good Medical Tablets Using Various Machine Learning Models.- Chapter 7. Lungs Nodule Prediction using Convolutional Neural Network and K-Nearest Neighbor.- Chapter 8. Quantitative Structure Activity Relationships (QSARs) Study for KCNQ Genes(Kv7) and Drug discovery.- Chapter 9. Apple fruit disease detection and classification using k-means clustering method.- Chapter 10. A Detailed Review of the Optimal Distributed Generation Placement in Smart Power Distribution Systems.
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