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Advances in Science, Engineering and
Technology

Advances in Science, Engineering and Technology

1. Textile-integrated rectangular patch antenna enhanced by segmented steps for wireless communication in the C and X bandsIkroop Verma, Vinod Kumar Singh and Virendra Sharma2. Two-stage peer selection in hybrid CDN-P2P video-on-demand systemDeepali Tatyarao Biradar and Sudhir N. Dhage 3. A hybrid cryptographic scheme for secure communicationSalman Ali and Faisal Anwer4. Implementation of low cost ADS-B receiver using software defined radio and GNU radioNavanita Gupta and Pooja Mishra5. A novel approach with one modulo three super mean labeling for enhancing communication efficiency in smart irrigationBaskar SriRanjani and Shanmugam Buvaneswari6. A review on optimal placement of unified power flow controller (UPFC) in a fuel cell-wind integrated deregulated power systemMitul Ranjan Chakraborty, Pradip Kumar Saha, Subhojit Dawn and Jayanta Bhusan Basu7. Neighborhood puzzle technique for greater power extraction from solar arrays under varying irradiationsVijay Laxmi Mishra, Yogesh K. Chauhan and K.S. Verma8. Design of fiber Bragg grating as vibration sensor for laboratory test trainSheeba Kumari, Preeta Sharan and Saara K9. Design of fiber Bragg grating sensor for the measurement of strain and temperatureChethana K, Rajini V Honnungar, Manjunath S, Bhuvan A Kamath, Rohit Y S and Vignesh V10. Smart ramp metering techniques: an overviewMohd Sadat, Syed Aqeel Ahmad, Mohd Danish, Jamia Hasan, Ahmad Hamza Kazmain and Mohammad Amir11. Microscopic modelling of uncontrolled on-ramp at urban expressway under mixed traffic conditionsMohd Sadat, Syed Aqeel Ahmad and Mehmet Ali Silgu12. Enhancing disaster management: A scientific exploration of artificial intelligence's impact on preparedness, response, and recoveryNeha Mumtaz, Tabish Izhar and Syed Aqeel Ahmad13. A comparative evaluation of single-cell integration methodsShahid Ahmad Wani and SMK Quadri14. Comprehensive review of approaches for reliable data dissemination in Vehicular Ad hoc Networks (VANETs)Nazish Siddiqui and Sheeba Praveen15. Concerns and difficulties regarding VANET securityAnupama Verma and Gulista Khan16. Exploring application of AI in big data analytics for network optimizationMohd Khalid, Deepak Kumar Singh, Riya Manchanda, Ramandeep Sharma, and Md. Adil Imroz 17. Harmonizing the future: AI's transformative influence on art and music - A bibliometric analysis Deepak Kumar Singh and Ranjan Kumar Mallik18. Towards sustainable futures: AI framework for ESG performance enhancementImran Ahmad and Tasneem Ahmed19. Mayo Clinic Strip AI: Differentiating Acute Ischemic Stroke Ethology Subtypes using whole slide Digital Pathology ImagesVedansh Sharma, Ashish Kumar, Shruti Gupta and Ankit Tomar20. Exploration of IHRL principles in AI domains within the Indian landscapeZohaib Hasan Khan, Piyush Charan, Maharaj K. Koul and Varun Yadav21. Empowering inclusive education: Leveraging artificial intelligence within the framework of NEP 2020Shruti Kirti Rastogi, Sarita Bajpai and Harishankar Singh22. UniParseAI: An unified approach to advanced SQL and NoSQL query parsing and manipulation boosted by AI capabilitiesAun Mohammad Kidwai, Mohd. Amaan, Shariq Shareef and Huda Khan23. Sustainable planet: Leveraging artificial intelligence for environmental conservation and social well-being Anuj Kumar, Rina Rai, Satish Kumar, Shubham Kumar and Alka Agrawal24. Brain tumour detection using MRI images in CNN G. Swapna, K. Sreenivasulu, M. Deepika, K.K. Baseer, Vikram Neerugatti and G Viswanath25. Technology aided framework for dealing with students' mental healthJacintha Menezes, Nadeesha Hemachandra, Kate Isidro and Mohammed Siddique26. First order low noise voltage mode OTA-C low power high pass filter for biomedical applications Ashish Dixit, Syed Shamroz Arshad, Sachchidanand Shukla, Anil Kumar and Geetika Srivastava27. Recommendation system for skin cancer severityRishi Agrawal, Rishabh Tiwari, Archie Gaur, Sudeep Jain and Pradhumn Agrawal28. Improving anti-tumour immunity by combining brain immunology and immunotherapy in brain Tumours Saumya Singh, Sumit Yadav, Mohatism Rasool, Uvais Ahmad, Fiza Afreen and Fareen29. Enhancing photovoltaic system stability under varying weather conditions and unknown load scenarios: An analytical studyNaveen Kumar Bind and Anil Kumar30. High definition thermal imager range modelling and analysis for aerial targetsPrerna Sahu31. Satellite based information sharing for person's safetyAman Yadav, Anubhav Kumar Prasad, Kshitij and Shivam Pandey32. An approach to estimate the instability, growth rate and decomposition analysis of mango crop productivity through Landsat-8 satellite imagesHarish Chandra Verma and Tasneem Ahmed33. An analysis of classification algorithms for the identification of urban area by using satellite images Pooja Sharma and Ankush Agarwal34. Role of image processing and machine learning techniques in detection of crop stress and crop diseases: An overview Gausiya Yasmeen, Nidhi Pandey and Tasneem Ahmed35. Enhanced crop diversity assessment using hyperspectral data: A spectrum characteristics methodAshish Kumar and R. D. Garg36. A comprehensive overview of digital image processing techniques in precision agricultureGausiya Yasmeen, Tasneem Ahmed and Nayyar Ali Usmani37. Classification of health status for sugarcane image using machine learningSomya Singh, Rakesh Kumar Dwivedi and Shambhu Bharadwaj38. Landslide detection: A semantic segmentation approachJuhi Shekokar, Sanjana Gadagi, Himadri Vaidya, Aishwarya Gavandi, Shradha Kolhe and Suraj Sawant39. Maize disease detection through CNN using leaf images: A review Bhupendra Kumar, Shalini Zanzote Ninoria and Vibhor Kumar Vishnoi40. An approach to detect the nitrogen deficiency of paddy crop on agriculture farm using digital image processing Mohammad Arif Ali Usmani and Ausaf Ahmad41. Fine tuning the pre-trained convolutional neural network models for plant disease detection using transfer learningVibhor Kumar Vishnoi, Krishan Kumar, Brajesh Kumar and Karamjit Bhatia42. Text classification using large language modelAavantika, Rakesh Kumar Dwivedi and Vivek Kumar43. Word Net-enriched text classification with compressed distance based word networksAarish Shah Mohsin, Mohammed Tayyab Ilyas Khan and Nadeem Akhtar44. Prediction of stock price: Comparative study between moving average and long short-term memory (LSTM) modelBhagwan Jagwani and Udai Bhan Trivedi45. Predictive modelling and customer accommodation strategies in ride-hailing services: A data analysis approachYogesh Pal, Anu Sayal and Shweta Dwivedi46. Customer lifetime value prediction using machine learning techniques and its impact on FinTech Rajarshi Roy, Prasenjit Banerjee, Sujan Das, Namrata Datta, Soumit Roy, Murshed Al Amin and Mahamudul Hasan47. An efficient enhancement for robust and reversible watermarking methodLalitesh Chaudhary, Santosh Rani, Santosh Kumar Nitesh Singh Bhati and Deeksha Kumari48. Summarizing across modes: Integration of asynchronous images and textHira Javed, Nadeem Akhtar and MM Sufyan Beg49. Impact of inclusion of smart board technology in classroom: An experimental studyPrince Walter and Kiran Tiwari50. Transitioning from Industry 4.0 to Industry 5.0: Exploring the potential and implicationsAkash Chaurasia, Amitesh Yadav, Dipanshu Mishra Satish Kumar, Vishal Agarwal, Pawan Kumar Chaurasia51. Inclination of science teachers towards use of technology: An instrument for revolutionizing science teachingGeetika Nidhi and Shagufta Parween52. An in-depth analysis of the impact of microfinance on agricultural revenue in Uttar Pradesh, IndiaDivesh Dutt and Moiz Akhtar53. Inclusion of ICT in Madarsa education for technological empowerment of Muslims in IndiaShagufta Parveen and Geetika Nidhi54. Comparing the collection development of digital content analysis of Indian library websites from IISER and NITTTRPriyanka Tripathi, Preetika Tripathi and Noman Mansoori55. Empowering women socioeconomic upliftment through self-help groups: The role of Information TechnologyMoiz Akhtar and Uzmi Anjum56. A comprehensive review: Anomaly detection techniques on social networking and its applications Sarfaraz Alam and Mohammad Faisal57. Utilization of academic social networking sites by the academic community at Integral University in India: An investigationNoman Mansoori and Priyanka Tripathi58. Augmented node features for graph convolutional networks: Applications of deep learning-based graph embeddings Mohammad Ubaidullah Bokhari, Imran Khan, Basil Hanafi, Shahnawaz Afzal and Md Zeyauddin59. An intellectual copy-move forgery detection system using deep learning with discrete cosine transform and block-based features Deeksha Kumari, Upasna Joshi, Priya Sharma, Santosh Kumar and Nitesh Singh Bhati60. Face recognition of faces with and without mask using CNN 327Shaik Mahamad Shakeer, S. Madhu, M. Jayasunitha, Reece Rodrigues, Vikram Neerugatti and K.K. Baseer61. Multimodal medical image supervised fusion using CNN with HODSatish Chaurasiya and Neelu Nihalani62. Leveraging machine learning for emerging trends in Information Technology: A reviewShweta Dwivedi, Syed Adnan Afaq, Saurabh Srivastava, Uma Gupta Garg and Saman Uzma63. Optimizing diabetic retinopathy detection with machine learning techniquesMegha Agarwal64. Detection of multiple attacks using machine learning approachNeha Srivastava, Sachin Gupta and R K Singh65. Enhancing explainability and interpretability in deep learning models for critical decision-making in healthcareSagar Gaur and Supriya Raheja66. Advanced blockchain-enabled deep quantum computing model for secured machine-to-machine communicationRajeev Kumar Arora, Aniruddh Tiwari and Mohd. Muqeem67. Prediction of ground water fluoride effect on dental health using machine learning: ReviewGaurav Saxena, Priyank Singhal and Vipin Khattri68. Leveraging deep neural networks for early recognize lumpy illness in animalsAkanksha Yadav and Prateek Raj Gautam69. Improving cardiovascular forecasting precision with blended machine learning methods Parisha, Gaurav Kumar Srivastava and Santosh Kumar70. Advanced deep learning techniques for enhanced retinal disease detection and diagnosisVaishnavi Yadav and Prateek Raj Gautam71. Classification of breast cancer with hybrid feature selection and extraction using machine learning classifiersVaishnawi Priyadarshni and Sanjay Kumar Sharma72. Designing an effective real-time fraud detection system with machine learning techniquesMuhammad Farhan, Huzefa Sarwar, Nazir Ahmad, Sufiyan Mirza, Syed Hauider Abbas, Zoha Fatma and Mohammad Mugish73. Mobile-based diabetic retinopathy detection and classification using TinyMLSatish Chaurasiya, Nikita Singh and Aman Singh74. A survey of sentiment analysis and opinion mining using supervised machine learning Nadiya Parveen, Mohd Waris Khan and Fiza Afreen75. Data mining techniques for type 2 diabetes prediction: A literature reviewRizwan Akhtar and Muhammad Kalamuddin Ahamad76. Text mining and sentiment analysis through support vector machine of online contents posting Sandeep Kumar Singh, Santosh Kumar, Shweta Dwivedi and Nitesh Singh Bhati77. Unlocking healthcare: A critical examination of access to India's public health systemAakansha Verma and Naseem Ahmad78. Prediction of alzheimer's disease using data mining techniques: A comprehensive reviewShameem Ahmad Ansari and Muhammad Kalamuddin Ahmad79. Feature extraction and classification of ECG signals for stress detectionSafia Sadruddin, Vaishali D. Khairnar and Deepali R. Vora80. Tracing the digital threads: A bibliometric analysis of cultural heritage digitization effortsPradeep Kumar, Ramandeep Sharma, Deepak Kumar Singh and Pamil Arora81. A comprehensive assessment of the existing literatures on the challenges and solutions related to cyber security in smart cities Rizwan Ahmed Khan, Mohd Faizan Farooqui and Mohd Waris Khan82. Cyber-aggression: A comprehensive study on cyberbullying recognition and intervention in social media context Nashra Javed, Tasneem Ahmed and Mohammad Faisal83. Develop an energy conservation model for cloud energy resources Ravinshu Jain, Ashendra Kumar Saxena and Sukrati Jain84. Sustainable cloud: An in-depth systematic review of energy-efficient strategies in cloud-based systemsMalik Shahzad Ahmed Iqbal and Mohammad Haroon85. Prevention from zombie attacks under cloud environment by mutual authentication method Himanshu Shukla, Ajay Pratap and Harsh Dev86. Data intensive workflow scheduling mechanism under precedence constraint using maximum flow network heuristic in cloud computingPriyanka Mishra and Ranjit Rajak87. A hybrid approach using deep reinforcement learning and particle swarm optimization for cloud task schedulingRam Pratap, Shaba Irram, Alok Kumar Singh and Gayettri Devi88. Identification scheme for zombie attacks in cloud environmentHimanshu Shukla, Ajay Pratap and Harsh Dev89. Machine learning technique for performance prediction of scientific workflow scheduling in cloud computing environmentKanchan Namdev and Ranjit Rajak90. Comprehensive overview of latency reduction techniques in low latency in device to device communications Deven Makhija, Rabindranath Bera and Sourav Dhar91. Reducing latency for the better resource utilization in edge computingMazhar Siraj, Namit Gupta and Vipin Khattri92. Dynamic task scheduling algorithms for NoC based multicore systems: A comprehensive review Aasim Zafar, Mohd Farooq and Abdus Samad93. A comparative study of task offloading techniques in Mobile Edge Computing (MEC)Ruchi Jain and Ranjit Rajak94. Developing a comprehensive security framework for detecting and mitigating IoT device attack Rajeev Kumar Arora, Mohd. Muqeem and Manish Saxena95. Development of a bike speed regulator for enhancement of rider's safety using IoTVaishali Savale, Shubham Pathak, Shankar Rakh, Pranay Kuhite and Shubham Patil96. Street light automatic intensity controller using Arduino-UNONaveen Kumar Bind, Bhagyashree, Akanksha Singh, Pravin Kumar and Abhishek Rana97. Bharat charge alliance: Essential to India's electric vehicle transitionJitendra Musale, Pranjali More, Varad Dahale, Sanika Whaval, Siddhi Shinde and Sujal Yadav98. Precision in tracking: The role of RFID in asset visibilityMariya Hasnat, Farha Zia and Shweta Dwivedi99. IoT enabled smart EV charging infrastructureRahul Pachori, Yash, Rajdeep Singh and Mohmmad Rizwan100. IoT and machine learning: Further research axes from industry 4.0 to 5.0Kumar Saurabh, Manish Madhava Tripathi and Satyasundara Mahapatra

Partial Discharge, Breakdown, Aging and Life Assessment in Electric Power Assets

Energy Efficient Internet of Things-Based Wireless Sensor Network

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp; Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

Artificial Security and the Politics of Hype in the EU

Frameworks and Applications

Human-Centered AI

Originating from the lattice Gas Automaton, LBM has reshaped the field with its straightforward approach and high efficacy. Despite its widespread use, navigating the scattered literature can be daunting for newcomers. Fluid Dynamics with the Lattice Boltzmann Method presents a clear path from novice to expert. This comprehensive guide bridges gaps in understanding, covering essential principles and exploring advanced topics like compressible flows and combustion. Authored by experts, this book consolidates diverse models and recent advancements, ensuring you're equipped to navigate the latest developments in computational fluid dynamics. Whether you're just starting out or aiming to stay ahead of the curve, this book is your essential companion in mastering LBM.

Fluid Dynamics with the Lattice Boltzmann Method

Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Swarm Robotics Solutions for National Security and Marine Forensics explores the cutting-edge applications of swarm robotics in safeguarding national security and advancing marine forensics. This book delves into the innovative use of collaborative robotic systems inspired by nature, where multiple autonomous agents work together seamlessly to address complex challenges. From enhancing surveillance and reconnaissance capabilities for national defence to revolutionizing marine forensic investigations, this comprehensive guide highlights the transformative impact of swarm robotics on critical domains. A must-read for researchers, practitioners, and enthusiasts in robotics, artificial intelligence, and security, this book illuminates the future possibilities of swarm robotics in shaping a safer and more secure world.

Swarm Robotics Solutions for National Security and Marine Forensics

Machine Learning For Dummies

Using Electromagnetic Signal and Information Theory

Intelligent Metasurfaces for 6G and Beyond

Now in its fourth edition, Electricity for the Entertainment Electrician and Technician is a comprehensive, practical study guide for aspiring and working professionals in live event production.The book begins with basic electrical principles and circuits, then progresses to advanced topics such as 3-phase power, power calculations, harmonics, grounding/earthing and bonding, generators, and battery power. Throughout, it bridges the gap between theory and practical application, emphasizing electrical safety at every step. With ample photographs and illustrations, practice problems and solutions, and real-world examples from experience and first-hand accounts, it provides readers with the knowledge to safely design, set up, and monitor power distribution systems. The fourth edition includes updated technology throughout, new and expanded information on safety, DC systems, and clean energy technology, more graphics and end-of-chapter quiz questions, all with an emphasis on diversity and inclusion. Also new to this edition are appendices containing US to UK terminology and imperial to metric conversions.Covering topics that are listed in the content outline for the ETCP Entertainment Electrician Certification exam as well as the ETCP Portable Power Distribution Technician Certification exam, this book supports students and practicing technicians and provides new technicians the assistance they need for a successful career in the entertainment industry.Additional resources, including conversion tables, voltage drop spreadsheets, articles from Lighting &amp; Sound International, Lighting &amp; Sound America, and Protocol, and animations and illustrations depicting electricity and electric power distribution developed for the author's workshops, can be found on the companion website www.electrics.tech.

Electricity, Power Distribution, and Electrical Safety for the Stage and Set

Electricity for the Entertainment Electrician and Technician

Deep Learning in Computer Vision

Foundations, Techniques and Applications

Edge AI

Previous research on finite/fixed/predefined-time control and its relevant sliding mode structures focus on forcing a system state (vector) to converge within a certain time moment, regardless of how each state element converges. Time-Synchronized Control and Applications for Autonomous Systems introduces a control problem with unique finite/fixed/predefined-time stability considerations, namely time-synchronized stability, where at the same time, all the system state elements converge to the origin. This book also delves into the wide-ranging applications of time-synchronized control in various practical control systems, including but not limited to spacecraft attitude control/tracking, satellite orbit control, dynamic positioning of vessels, cooperative control of autonomous vehicles, etc. In addition, a diverse array of control system models are considered, encompassing disturbed systems, chaotic systems, multi-input multi-output (MIMO) systems, nonlinear systems, and Euler-Lagrange systems. Through an in-depth exploration of these specific cases, this book showcases the versatility and effectiveness of time-synchronized control methods across different domains, providing readers with a comprehensive perspective on their practical utility.

Time-Synchronized Control and Applications for Autonomous Systems

Advances in Science, Engineering and Technology

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