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Emerging Trends in Computer Science and Its Application

Anurag Tiwari Manuj Darbari

$105

Paperback

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English
CRC Press
08 April 2025
The conference brought together a diverse group of scholars, researchers, and industry professionals to engage in meaningful discussions and share insights on cutting-edge trends in artificial intelligence, machine learning, data science, and their multifaceted applications. This collaboration and knowledge exchange fostered an environment of innovation, making the conference a successful and impactful event for all participants. It aimed to highlight these significant advancements and serve as a valuable resource for researchers, academicians, and practitioners who wish to stay informed about the recent innovations and methodologies shaping the landscape of computational intelligence. By showcasing a wide range of research topics and practical implementations, it not only addressed the current challenges but also inspired new ideas and approaches for future research.
Edited by:   ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 280mm,  Width: 210mm, 
Weight:   1.220kg
ISBN:   9781032999012
ISBN 10:   1032999012
Pages:   640
Publication Date:  
Audience:   General/trade ,  Professional and scholarly ,  ELT Advanced ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
1. A systematic review on recent controllers for an industrial wastewater treatment plant 2. Green SaaS adoption in cloud computing: An investigation into environment sustainability 3. Physical layer security in ambient backscatter communication: A review 4. Revolutionizing object recognition beyond CNN and YOLO with deep learning breakthrough 5. Investigating efficacy of emerging ICTs for the Indian construction sector 6. AgriTech: Empowering agriculture through integrated technology 7. Online and offline learning in universities: A student’s dilemma 8. Strengthening UAV network security: Advanced authentication-based intrusion detection systems 9. Comparative analysis of wireless routing protocols for security threat—A review 10. Cascadability analysis of free space optical wireless data centers 11. Wireless network with machine learning and deep learning techniques 12. Assessing technology innovation of cellular health 13. Optimizing content-based image retrieval: A comparative analysis of classifier ensemble approaches 14. Approach to recognize fake news 15. Cybersecurity measures for safeguarding medical image data 16. Detection of phishing attacks using machine learning 17. A comprehensive exploration of aircraft detection in synthetic and satellite images 18. Mitigating man-in-the-middle attack in UAV network using authentication mechanism based on chaotic maps 19. A comprehensive multi-modal sentiment analysis approach for social media content integration 20. A proposed deep learning framework for internet-of-medical things 21. Analysis of novel routing protocol to minimize delay in VANET: A comprehensive simulation for VANET 22. Securing the secrets of 5G: Mitigating eavesdropping threats and enhancing network integrity 23. A comprehensive crop prediction model leveraging optimization algorithms and machine learning classifiers 24. Malaria detection using convolutional neural networks: A deep learning approach 25. An optimal emergency vehicle path finding mechanism using routing algorithms 26. Smart city solutions: Enhancing infrastructure with LoRa multi-hop networks 27. Enhancing online customer engagement through strategic optimization: Customized page ranking and analytical insights via web mining techniques 28. Towards unbreakable cloud security: Symmetric key cryptography and blockchain synergy 29. Neuralink’s approach to spinal cord injuries and vision impairment through pioneering brain–machine interfaces 30. Honeypots and honeynets: investigating attack vectors 31. A review on deep learning frameworks for pose estimation during exercise for rehabilitation 32. SwiftScan SpeedPro: OpenCV-powered vehicle speed monitoring 33. Hawkeye-intelligent surveillance system 34. Sentimental analysis for amazon product review 35. Crop recommender system using machine learning approach 36. Cloud malware detection using heuristic techniques 37. Guarding your home: A seamless Iot-driven security system with high security 38. The challenges of enforcing cybercrime laws in the age of E-governance: A literature review 39. A exhaustive review on advancements and challenges in low power wireless sensor networks 40. Automated personality evaluation of children based on emotional speech 41. Redefining human activity recognition with LSTM and GRU networks 42. Cybersaferoutes: Protecting IoT networks from hybrid attack with security measures 43. Harmful content classification in social media using gated recurrent units and bidirectional encoder representations from transformer 44. Detection of missprounciation using deep learning 45. IOT-enabled cloud solutions for reliable health monitoring 46. Detection of melanoma using DenseNet-based adaptive weighted loss function 47. Advanced reconfigured solar arrays to attenuate shading loss under partial shading conditions: experimental validation 48. Understanding the relationship of quantum mechanics and machine learning 49. Employability prediction: A machine learning model for computer science students 50. A comprehensive review of innovations in stray cattle detection 51. Enhancing emotional insight: NLP powered sentiment analysis 52. Decision-making using argumentation mining framework on English text 53. Potato leaf disease classification and prediction using CNN 54. Exploring the impact of integrated technological solutions on student engagement administrative efficiency 55. Early stage lung cancer detection using RESNET 56. Cryptographic image concealment with neural networks 57. An efficient CNN-based approach for automated animal intrusion detection 58. Next-generation smart cities: Integrating blockchain, IoT, deep learning, and Dingo optimization 59. Intelligent diagnosis of diabetic retinopathy: Leveraging machine and deep learning 60. Digital dwelling hub: Revolutionizing real estate with AR and smart home integration 61. Mobilenet-v3: A comprehensive survey of object detection algorithms using CNN 62. Rainstorm prediction system 63. Advancements in assistive technologies for web accessibility: A systematic review 64. Predicting bitcoin prices: A machine learning approach for accurate forecasting 65. A comprehensive review on multi disease prediction web app: QuadraDiag 66. A comprehensive review on tomato plant disease detection using convolutional neural network 67. Building a decentralized non-fungible token marketplace: Leveraging blockchain technology for secure digital asset exchange 68. CollegeGo: leveraging alumni data for improved college placements 69. An in-depth review of AI/ML techniques in emotion-preserving multilingual video translation for practical cross-cultural communication 70. Data analysis for revenue optimization in the hospitality sector 71. Technological solutions for E-waste management and disposal 72. Comparative study of various transformation techniques in image fusion 73. Blockchain transaction processing: challenges and resolutions 74. Fake social media profile detection using machine learning 75. Prompted LLMs as chatbot modules for long open-domain conversation 76. Smart locking system using machine learning technique 77. Mind Matters: Psychological analysis using CBT Chatbot 78. Optimizing patient outcomes through integrated health analysis and management strategies 79. Data leakage detection 80. Vision-based lip-reading system using deep learning 81. Reform dentistry: A web-based platform for revolutionizing dentistry 82. AI genius: Integrated intelligence platform 83. Agriculture: Soil analysis for suitable crop and fertilizer prediction 84. Comprehensive examination of system surveillance method employing keystrokes logging technology 85. Health prediction application: A comprehensive literature review 86. E-portal for case management and hearing 87. Enhancing electoral processes: The role of “Smart Voting Systems” 88. Advancements in rainfall prediction systems: A comprehensive review of techniques and models 89. FindServ 90. IoT devices security against common threats 91. Predict-a-disease: Survey 92. Securing MANETs against black hole attacks: A novel approach using secure knowledge algorithm 93. AI-powered navigation of the digital frontier: Analyzing modern trends in digital marketing and their influence on consumer purchasing patterns with special reference to pharma industry 94. Fake video detection 95. Olympic odyssey: Tracing 120 years of athletes sports, and global influence 96. Crop prediction system using machine learning 97. A mobile application to assist the women in gestation period 98. I-tourism planner 99. Blockchain based E-vault system for legal records 100. Anomaly detection in wireless sensor network 101. Enhancing fault tolerance in distributed systems through machine learning techniques 102. Predicting breast cancer risk: A machine learning approach 103. A multi-objective optimization algorithm for fog computing with trust and energy awareness 104. Pediatric brain tumor detection in MRI: A machine learning perspective 105. Enhancing trust in the social internet of things (SIoT): A comprehensive review 106. Fostering plant health: Utilizing YOLOv7 framework to identify leaf diseases 107. A review on-malignancy detection in lung nodules using CNN 108. Next-generation parking system using IoT 109. A review on smart health diagnosis 110. Android app threat analysis techniques: A review 111. AI Powered Legal Documentation Assistant 112. Ideas to boost fitness activities and assist in keeping fit 113. Using existing CCTV network for crowd management, crime prevention and work monitoring: A novel approach for object detection

Anurag Tiwari is an Associate Professor and Head of the Department of Computer Science and Engineering at BBD National Institute of Technology and Management, Lucknow. With multiple patents and consultancy projects to his credit, his research interests include machine learning and optimization techniques. Manuj Darbari, Senior Member IEEE (USA) and Chartered Engineer (India), is a visionary leader in Computer Science and Engineering, specializing in AI, Cloud Computing, and IoT. Currently, a Professor at BBDITM Lucknow, he has made significant contributions to cutting-edge technologies and has served as a convener and reviewer for leading global conferences.

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