Tiwari / Darbari | Emerging Trends in Computer Science and Its Application | Buch | 978-1-032-99900-5 | www.sack.de

Buch, Englisch, 662 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1380 g

Tiwari / Darbari

Emerging Trends in Computer Science and Its Application


1. Auflage 2025
ISBN: 978-1-032-99900-5
Verlag: CRC Press

Buch, Englisch, 662 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1380 g

ISBN: 978-1-032-99900-5
Verlag: CRC Press


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.

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Weitere Infos & Material


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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