Navigating Challenges Of Object Detection Through Cognitive Computing

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Navigating Challenges Of Object Detection Through Cognitive Computing

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Author : Sadique Ahmad
language : en
Publisher:
Release Date : 2025

Navigating Challenges Of Object Detection Through Cognitive Computing written by Sadique Ahmad and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.

Navigating Challenges Of Object Detection Through Cognitive Computing

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Author : Ahmad, Sadique
language : en
Publisher: IGI Global
Release Date : 2025-04-30

Navigating Challenges Of Object Detection Through Cognitive Computing written by Ahmad, Sadique and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.

Cognitive computing is transforming how machines perceive, analyze, and make intelligent decisions, enabling breakthroughs in object detection, segmentation, and image processing. By integrating cognitive algorithms with machine learning, this technology enhances automation, accuracy, and efficiency across industries such as healthcare, finance, and agriculture. The ability of machines to mimic human reasoning opens new frontiers for innovation, leading to smarter diagnostics, risk assessments, and precision-driven solutions. As cognitive computing evolves, its applications will continue to reshape industries, improve decision-making, and drive technological advancements that impact society on a global scale. Navigating Challenges of Object Detection Through Cognitive Computing explores the challenges of object detection across various domains and presents cognitive computing-based intelligent techniques to overcome them. It provides insights into innovative methodologies for improving detection accuracy in complex scenarios such as surface defect detection, indoor environments, adverse weather conditions, UAV imagery, and camouflaged object detection. Covering topics such as smart engineering, social medial sentiment analyses, and healthcare, this book is an excellent resource for computer engineers, computer scientists, industry practitioners, professionals, researchers, scholars, academicians, and more.

Proceedings Of The 15th International Conference On Soft Computing And Pattern Recognition Socpar 2023

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Author : Anu Bajaj
language : en
Publisher: Springer Nature
Release Date : 2025-05-03

Proceedings Of The 15th International Conference On Soft Computing And Pattern Recognition Socpar 2023 written by Anu Bajaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-03 with Computers categories.

This book presents 52 selected papers focused on Information Retrieval and Applications from the 14th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2023) and 14th World Congress on Nature and Biologically Inspired Computing (NaBIC 2023). SoCPaR – NaBIC 2023 was held in 5 different cities namely Olten, Switzerland; Porto, Portugal; Kaunas, Lithuania; Greater Noida, India; Kochi, India and in online mode. The conference had contributions by authors from 39 countries. This Volume offers a valuable reference guide for all scientists, academicians, researchers, students and practitioners focused on Information Retrieval and Applications.

Cognitive Computing For Internet Of Medical Things

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Author : A Prasanth
language : en
Publisher: CRC Press
Release Date : 2022-12-23

Cognitive Computing For Internet Of Medical Things written by A Prasanth and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-23 with Computers categories.

Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

Mastering Computer Vision With Pytorch 2 0

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Author : M. Arshad Siddiqui
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-01-17

Mastering Computer Vision With Pytorch 2 0 written by M. Arshad Siddiqui and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-17 with Computers categories.

TAGLINE Unleashing the Power of Computer Vision with PyTorch 2.0 KEY FEATURES ● Covers core to advanced Computer Vision topics with PyTorch 2.0's latest features and best practices. ● Progressive learning path to ensure suitability for beginners and experts alike. ● Tackles practical tasks like optimization, transfer learning, and edge deployment. DESCRIPTION In an era where Computer Vision has rapidly transformed industries like healthcare and autonomous systems, PyTorch 2.0 has become the leading framework for high-performance AI solutions. [Mastering Computer Vision with PyTorch 2.0] bridges the gap between theory and application, guiding readers through PyTorch essentials while equipping them to solve real-world challenges. Starting with PyTorch’s evolution and unique features, the book introduces foundational concepts like tensors, computational graphs, and neural networks. It progresses to advanced topics such as Convolutional Neural Networks (CNNs), transfer learning, and data augmentation. Hands-on chapters focus on building models, optimizing performance, and visualizing architectures. Specialized areas include efficient training with PyTorch Lightning, deploying models on edge devices, and making models production-ready. Explore cutting-edge applications, from object detection models like YOLO and Faster R-CNN to image classification architectures like ResNet and Inception. By the end, readers will be confident in implementing scalable AI solutions, staying ahead in this rapidly evolving field. Whether you're a student, AI enthusiast, or professional, this book empowers you to harness the power of PyTorch 2.0 for Computer Vision. WHAT WILL YOU LEARN ● Build and train neural networks using PyTorch 2.0. ● Implement advanced image classification and object detection models. ● Optimize models through augmentation, transfer learning, and fine-tuning. ● Deploy scalable AI solutions in production and on edge devices. ● Master PyTorch Lightning for efficient training workflows. ● Apply real-world techniques for preprocessing, quantization, and deployment. WHO IS THIS BOOK FOR? This book is tailored for students, professionals, researchers, and AI enthusiasts keen to explore Computer Vision with PyTorch 2.0. A basic understanding of Python and machine learning concepts is required. Familiarity with neural networks will enhance the learning experience. TABLE OF CONTENTS 1. Diving into PyTorch 2.0 2. PyTorch Basics 3. Transitioning from PyTorch 1.x to PyTorch 2.0 4. Venturing into Artificial Neural Networks 5. Diving Deep into Convolutional Neural Networks (CNNs) 6. Data Augmentation and Preprocessing for Vision Tasks 7. Exploring Transfer Learning with PyTorch 8. Advanced Image Classification Models 9. Object Detection Models 10. Tips and Tricks to Improve Model Performance 11. Efficient Training with PyTorch Lightning 12. Model Deployment and Production-Ready Considerations Index

Proceedings Of The Third International Conference On Cognitive And Intelligent Computing Volume 1

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Author : Amit Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-03-24

Proceedings Of The Third International Conference On Cognitive And Intelligent Computing Volume 1 written by Amit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-24 with Computers categories.

This book presents original, peer-reviewed select articles from the International Conference on Cognitive and Intelligent Computing (ICCIC-2023), held on December 8–9, 2023, at Hyderabad, in India. The book focuses on the comprehensive nature of computational intelligence, cognitive computing, AI, ML, and DL in order to highlight its role in the modelling, identification, optimisation, prediction, forecasting, and control of future intelligent systems. It includes contributions from a methodological/application standpoint in understanding artificial intelligence and machine learning approaches and their capabilities in solving a wide range of problems in the real world.

Robotics Text Book

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Author : Manish Soni
language : en
Publisher:
Release Date : 2024-11-13

Robotics Text Book written by Manish Soni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Study Aids categories.

Welcome to "Robotics: From Fundamentals to Advanced Applications," your comprehensive guide to understanding and mastering the field of robotics. In an era where automation and intelligent systems are revolutionizing industries, robotics stands at the forefront, driving innovations across manufacturing, healthcare, exploration, and more. As we delve deeper into this transformative technology, it is essential for both beginners and seasoned professionals to grasp its fundamental concepts and applications thoroughly. This book is meticulously crafted to serve as a complete learning resource, catering to the diverse needs of learners at all levels. Whether you are a student embarking on your first exploration into robotics or a professional seeking to enhance your expertise, this guide provides the essential tools and resources necessary to achieve your learning goals.

Computer Vision Accv 2014 Workshops

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Author : C.V. Jawahar
language : en
Publisher: Springer
Release Date : 2015-04-11

Computer Vision Accv 2014 Workshops written by C.V. Jawahar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-04-11 with Computers categories.

The three-volume set, consisting of LNCS 9008, 9009, and 9010, contains carefully reviewed and selected papers presented at 15 workshops held in conjunction with the 12th Asian Conference on Computer Vision, ACCV 2014, in Singapore, in November 2014. The 153 full papers presented were selected from numerous submissions. LNCS 9008 contains the papers selected for the Workshop on Human Gait and Action Analysis in the Wild, the Second International Workshop on Big Data in 3D Computer Vision, the Workshop on Deep Learning on Visual Data, the Workshop on Scene Understanding for Autonomous Systems and the Workshop on Robust Local Descriptors for Computer Vision. LNCS 9009 contains the papers selected for the Workshop on Emerging Topics on Image Restoration and Enhancement, the First International Workshop on Robust Reading, the Second Workshop on User-Centred Computer Vision, the International Workshop on Video Segmentation in Computer Vision, the Workshop: My Car Has Eyes: Intelligent Vehicle with Vision Technology, the Third Workshop on E-Heritage and the Workshop on Computer Vision for Affective Computing. LNCS 9010 contains the papers selected for the Workshop on Feature and Similarity for Computer Vision, the Third International Workshop on Intelligent Mobile and Egocentric Vision and the Workshop on Human Identification for Surveillance.

Smart Systems And Wireless Communication

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Author : Rituparna Chaki
language : en
Publisher: Springer Nature
Release Date : 2025-05-19

Smart Systems And Wireless Communication written by Rituparna Chaki and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-19 with Technology & Engineering categories.

The volume is a collection of high-quality research papers presented at International Conference on Smart Systems and Wireless Communication, SSWC 2024, organized Department of Information Technology, JIS College of Engineering, Kalyani, West Bengal, India, during 29-30 November 2024. This book focuses smart cities, smart farming, smart healthcare, wireless networks communication, internet of things, cyber physical systems, human computer interaction, big data and data analytics, high performance computing, requirements engineering, analysis and verification techniques, security systems, distributed systems, biometrics, bioinformatics, robotic process automation, and machine learning.

Cognitive Foundations Of Agentic Ai From Theory To Practice

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Cognitive Foundations Of Agentic Ai From Theory To Practice written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Cognitive Foundations of Agentic AI: From Theory to Practice explores the conceptual and technical underpinnings of AI systems that act with autonomy, proactivity, and social intelligence. Drawing from cognitive science, artificial intelligence, and systems theory, this book provides a structured view of how intelligent agents perceive, learn, reason, and interact in dynamic environments. Beginning with a detailed exploration of what defines Agentic AI, the book delves into the cognitive processes that support agency—perception, learning, reasoning, memory, and decision-making. It bridges classical symbolic models with modern deep learning and neuro-symbolic systems to illustrate how hybrid architectures can enable generalizable, goal-driven behavior. Emphasis is placed on modeling real-world complexity, social cognition, and human-like interaction through language, emotional awareness, and theory of mind. The text also critically examines challenges such as generalization, ethical alignment, uncertainty, and explainability. Through illustrative case studies in robotics, healthcare, digital assistants, and multi-agent systems, it highlights the real-world implications and limitations of agentic systems. The final chapters outline practical pathways to building cognitive agents, including architecture design, training environments, and evaluation methods. It encourages a collaborative AI-human future where agents not only support but enhance human decision-making, learning, and creativity. Ideal for AI practitioners, researchers, and graduate students, the book offers both a theoretical framework and practical insights into creating autonomous systems that think, learn, and act intelligently. It invites readers to rethink intelligence not as a fixed trait but as an emergent, contextual process deeply rooted in cognition.