Emerging Trends in Engineering and Applied Sciences

1. Auflage 2026
ISBN: 978-1-041-45684-1
Verlag: Taylor & Francis

Buch, Englisch, 450 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Taylor and Francis Proceedings in Civil and Structural Engineering

Emerging Trends in Engineering and Applied Sciences discusses innovative research and the latest advancements in engineering and applied sciences presented at the 3rd International Conference on Emerging Trends in Engineering and Applied Sciences.

The proceedings aim to foster interdisciplinary collaboration and provide a platform for addressing contemporary challenges through technological innovation and scientific excellence. It comprises peer-reviewed research papers covering a broad spectrum of topics, including Aerospace Engineering, Artificial Intelligence and Machine Learning, Data Science, Internet of Things, Robotics, Advanced Manufacturing, Sustainable Energy Systems, Materials Science, Communication Technologies, Computational Sciences, and other emerging areas of engineering and applied sciences. The contributions highlight recent developments, novel methodologies, and practical applications that address real-world problems while promoting sustainability and technological advancement. These proceedings serve as a valuable repository of current research trends and innovative solutions shaping the future of engineering and applied sciences. Through keynote addresses, technical sessions, and scholarly discussions, the proceedings collection facilitates knowledge sharing and encourages collaboration among academia, industry, and research organizations.

Emerging Trends in Engineering and Applied Sciences is a valuable resource for researchers, faculty members, scientists, postgraduate and undergraduate students, industry professionals, and policymakers interested in emerging technologies and interdisciplinary research. It provides an essential reference for those seeking to explore recent advances, foster collaborations, and contribute to the advancement of engineering and applied sciences.

Zielgruppe

Academic and General

Autoren/Hrsg.

Raju, G. T.

K. M., Rajashekara

S V, Madhusudhana

Kumar N, Jamun

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Verkehrstechnik | Transportgewerbe Luft- und Raumfahrttechnik, Luftverkehr
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Naturwissenschaften, Technik, Medizin
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau
• Technische Wissenschaften Bauingenieurwesen Bauingenieurwesen

Inhaltsverzeichnis

Session 1: Mechanical Engineering 1. Analysis of Aero-drag System in Cars for Efficient Braking 2. Investigating the Cause of Wobble Plate Failure in Axial Piston Pump and Determination of the Stresses Acting on It 3. Enhancing FDM Additive Manufacturing with Nanocomposites and Generative AI: A Critical Review 4. Simulation and Experimentation of Printed Circuit Board for Automotive Electronics 5. Evaluation and Redesigning the Milling and Drilling Operator Posture Using Advanced Ergonomic Design and Analysis Tools 6. Influence of Textile Pattern on Mechanical Properties of Basket Pattern Sisal Fiber Reinforced Vinyl Ester Composites 7. Novel Method of Curing Study Extent of Glutaraldehyde Crosslinking in Polyvinyl Alcohol by Dynamic Mechanical Analysis (DMA) 8. Polyvinyl Alcohol and Its Interaction with Glutaraldehyde on Thermo-Mechanical Properties 9. Evaluation of Mechanical and Tribological Properties of A356 Alloy Based Hybrid Composite Reinforced with Granite Dust and Rice Husk Ash Particulates 10. Buckling Behaviour of Jute Fibre-Reinforced Laminates 11. Evaluation of Machining Performance of Cu-Al-Mn Shape Memory Alloys Using Wire EDM 12. Analysis of Cutting Forces and Tool Wear During Turning of EN-19 Steel Using Carbide Tool Insert 13. Evaluating the Suitability of 3D-Printed Polylactic Acid for Biomedical Fields 14. Development of a Smart Solar-Powered Agricultural Robot with Android App Integration 15. Performance of a Four-Stroke Diesel Engine Using LPG Session 2: Civil Engineering 16. Structural Behaviour of Concrete Reinforcing with Recron 3s and Steel Fiber 17. Parametric Study on Fluid Structure Interaction due to Water Sloshing in Tank 18. An Experimental Investigation of a Sustainable Method for Reinforcing Concrete Using Human Hair 19. Parametric Study of Outrigger Structural System with Soil Structure Interaction Effect 20. Sustainable Concrete Production Using Plastic, Glass and Brick Waste as Partial Replacements for Coarse Aggregates 21. Pushover Analysis for Dynamic Apartment Building Analysis 22. Enhancing Sustainability: Strength of Acid-and Alkali-Activated Geopolymer Mortar 23. Flexural Behavior of RC Beams Using Pond Ash as a Partial Alternative for Fine Aggregate 24. Construction Waste Minimisation and Management 25. Mechanical Performance Evaluation of Self-Compacting Concrete Incorporating Fly Ash as a Cement Substitute 26. A Study of Water Quality and Comparative Study Across Major Rivers of Karnataka 27. Experimental Investigation on the Mechanical Properties of Carbon Fiber-Reinforced Concrete 28. Mechanical Properties of HPC Using Granite Powder as Partial Finers in Concrete 29. The Effects of Industrial Waste on Geotechnical Properties of Soft Soil 30. An Experimental Investigation of Stabilized Mud Blocks Reinforced with Coconut Fibers 31. Evaluation of Pavement Subgrade Using Geosynthetics 32. Transforming Road Safety with Self-Cleaning Smart Road Reflectors 33. Experimental Investigation on the Properties of Concrete Incorporating Alkali Activated Aggregates 34. Aluminium Formwork Technology: A Sustainable Approach to Efficient Construction Practices Session 3: Aeronautical and Aerospace Engineering 35. Optimization of Secondary Injection Parameter on Thrust Vector Control in Dual Throat Nozzle: A Computational Study 36. Investigating the Impact of Leading-Edge Tubercles on Wind Turbine Blade Efficiency 37. Synthesis and Characterization of ZrO2 Reinforced Al-12%Si Composites for Aerospace Applications by Stir Casting Based Manufacturing Technique 38. Prediction of Stalling Angle and Lift Performance Enhancement of Symmetric Airfoil 39. Conceptual Design and Numerical Analysis of a Reentry Vehicle with Docking System Compatible with GSLV MK 40. RC Ornithopter: Aerodynamic Design and Real-Time Control for Surveillance 41. An AI-Driven Legal Research Engine for Aeronautical Commercial Disputes: A Fusion of Engineering Intelligence and Judicial Reasoning 42. Optimum Design of Geometry and Building of Correlations for Flow Characteristics by Analysis of Flow Through C-D Nozzle 43. Design and Analysis of the Recuperative Gas Combustion Chamber 44. Preliminary Design and Multidisciplinary Analysis of Commercial Aircraft for Short Takeoff and Landing 45. Experimental Study on Mechanical and Tribological Characterization of Sisal Fibre Reinforced Composites with HNT Nanofillers 46. Study on the Mechanical Behavior and Moisture Absorption Properties of Jute Fiber Reinforced Composites 47. Numerical Simulation and Optimum Design of Nose Cone Through Flow Analysis 48. Analysis of Stepped Airfoil by Comparing with the Conventional NACA4415 Airfoil 49. Modelling, Aerodynamic and Structural Analysis of Canard Wing Aircraft 50. Experimental Investigation on Mechanical Properties of Hemp Fiber Reinforced Composites for Low Load Bearing Aerospace Structural Applications 51. Experimental Verification and Prediction of Boundary Layers' Thickness by Analysis of Flow Over Flat Plate Using CFD 52. Aerodynamic Analysis of Ancient Aircraft 53. Aerodynamic Performance Optimization of a Hypersonic Waverider Through Leading-Edge Modification 54. Virtual Modeling and Design of a VTOL UAV for Next-Gen Logistics Session 4: Basic Sciences (Physics, Chemistry and Mathematics) 55. L2 Scheme for Solving the Robin Boundary Value Problem for a Generalized Fractional Diffusion Equation 56. Analysis of Geothermal Potential for Off-Earth Energy Systems: Lunar and Martian Case Studies 57. Influence of Alkali-Ions (Li, Na, K) on the Luminescence Property of Tungstate Nanophosphor 58. Flexible Nanocomposites: Recent Progress and Applications 59. Computational Docking Analysis of Natural Compounds as Potential Inhibitors of Mycobacterium tuberculosis Protein Kinase G (PknG) 60. Aluminium-7075/Red Mud Metal Matrix Composites: An Analysis of Corrosion Behaviour 61. Spectral Analysis of Laplacian Labeling and Coloring in Semigraph Theory 62. Survival Prediction in Lung Disorders: Unveiling Age Influences Through Nonparametric Models 63. Morphological Characterization of Different Cultivars of Chrysanthemum 64. Impact of Manganese Incorporation on Glass: Structural and Optical Insights 65. Impact of Red Mud Reinforcement on the Corrosion Behavior of Al6013 Metal Matrix Composites in a Neutral Chloride Medium 66. Electrochemical Characterization of Al6013 Hybrid Metal Matrix Composites in Neutral Chloride Medium 67. Synthesis and Characterization of Aluminium and Chromium Substituted Calcium Hexaferrite Nanomaterials 68. Photoluminescence Studies of Sodium Yttrium Tungstate Phosphors Session 5: Multidisciplinary 69. Smart Healthcare System with Interpretable CNN for Skin Cancer Detection 70. Skin Cancer Identification and Classification via LeNet-LSTM Model on Dermoscopic Images 71. Development of a 3D-Printed Device for Bite Force Measurement Using Flex Force Sensor 72. QoS-Aware Cloud Resource Scheduling with Response Time and Throughput Analysis 73. Optimization of LLMs for Edge Deployment 74. Interictal Intracranial EEG Predicts Surgical Success in Epilepsy Patients Using Machine Learning Techniques 75. Deep Learning Based Image Classification for Medical Imaging Diagnostics 76. Development and Evaluation of an Intelligent Pulmonary Activity Monitoring System for Precision Medicine in Lung Cancer Care 77. Guardian AI: A Next-Gen Intrusion Detection System 78. Advancements in Boolean Keyword Searchable Encryption for Cloud Environments 79. Machine Learning Strategies for Accurate Prediction of Cellular Traffic 80. An Enhanced Thyroid Prediction and Detection System Using Multiple Ensemble Algorithms 81. An Overview of Retinitis Pigmentosa and Its Management Approaches 82. A Secure Blockchain Framework for Scalable IoT Solutions in Precision Agriculture 83. Blockchain-Powered Platform for Medical Record Control and Distribution 84. Exploring Techniques and Applications of 3D Rendering in Computer Graphics 85. Enhancing Cyberbullying Detection: A Deep Learning Approach Incorporating Bystander Roles 86. Intelligent Analysis of the Psychological Impact of Reading Physical Books versus E-Books on Humans 87. Ensemble Learning Classifier with Optimization of L2 Leaf Regularization for Colon Cancer Classification 88. A Deep Learning Framework with Multiple Models for Detecting Credit Card Fraud Using Transaction Data and UAV Surveillance 89. Convolutional Networks for End-To-End Handwritten Text Decoding 90. Sustainable Fertilizer Usage Optimizer for Higher Yield 91. AI-Driven Approach for Enhancing CAPTCHA Security and Usability 92. Accessible and Flexible Learning Models for Disabled Students 93. Enhancing Trust in Official Records Through a Unified Automated Verification System

Über Autor(innen)

G. T. Raju is the Principal of SJC Institute of Technology (SJCIT), Chickballapur, Karnataka. He holds M.E. and Ph.D. degrees from Visvesvaraya Technological University (VTU) and has over 28 years of rich experience in teaching, research, and academic administration. A Life Member of the Indian Society for Technical Education (ISTE) and a Member of the Computer Society of India (CSI), Dr. Raju has played significant roles in various academic bodies, including serving as a Governing Council Member of M S Engineering College, Bengaluru, and as a member of the Academic Senate of VTU. His research interests include Knowledge Discovery in Databases, Pattern Recognition, Artificial Intelligence, Machine Learning, Image Processing, and Networking. He has published over 75 research papers in reputed journals and conferences, contributed book chapters, and guided several Ph.D. scholars in emerging domains such as ontology integration, big data resource scheduling, and neuro-fuzzy approaches for medical diagnosis. His scholarly work has earned around 276 citations with an h-index of 6. Dr. Raju has received several recognitions for his contributions to academia, including the Rajiv Gandhi Gold Medal Award for Outstanding Individual Achievement in 2015 and the Best Teacher Award from RNS Institute of Technology, Bengaluru, in 2012.

Rajashekara K. M. obtained his Master of Science (M.Sc.) degree from Kuvempu University in 2002 and earned his Ph.D. from Mangalore University in 2008. He has made significant contributions to the field of Physics through his research, teaching, and academic leadership.
He served as a Research Fellow in a prestigious project funded by the Department of Atomic Energy – Board of Research in Nuclear Sciences (BRNS), Government of India. His research expertise has resulted in the publication of 55 research papers in reputed national and international journals. In addition, he has presented around 58 research papers at various national and international seminars and conferences. Dr. Rajashekara is an active member of several professional and scientific organizations, contributing to the advancement of scientific research and academic excellence. He reviewed manuscripts of reputed journals. He received the Best Paper Award in the poster session at the International Conference on Radiation Biology held at Banaras Hindu University (BHU), Varanasi, in 2006. As a dedicated research supervisor, he has successfully guided six Ph.D. scholars to completion, and currently two research scholars are pursuing doctoral studies under his supervision. With extensive experience in higher education, research, and administration, Dr. Rajashekara K. M. is presently serving as Professor and Head of the Department of Physics, where he continues to promote academic excellence, innovative research, and student development.

Madhusudhana S V Completed BE from Visvesvaraya Technological University, Belagavi, M.Tech from Visvesvaraya Technological University, Belagavi and Obtained PhD from Visvesvaraya Technological University, Belagavi in the year 2021. He has published about 22 research papers in national and international journals and has presented about 40 research papers in national and international seminars/conferences. Dr. Madhusudhana S V is currently serving as the Associate Professor and Head of the Department of Aerospace Engineering at SJC Institute of Technology (SJCIT), Chickballapur. He holds an M.Tech and a Ph.D. in Aerospace Engineering and has a strong academic and research background in the field of Material Science and Metallurgy. As an accomplished academician and researcher. Dr. Madhusudhana has contributed significantly to the growth and development of the Aerospace Engineering Department at SJCIT. Under his leadership, the department has expanded its focus to emerging areas such as satellite design, missile technology, robotics, propulsion systems, and cryogenics. He has been instrumental in developing state-of-the-art laboratories including the Computational Fluid Dynamics Lab, Drone Lab, Aerospace Design Lab, and a Research and Development Centre, providing students with advanced hands-on experience and research exposure. He is an active member of many professional and scientific bodies. He received the Indian Excellence Award in 2022 Best Teacher Award. Presently 1 candidate is pursuing PhD and RAC member for 3 Research Scholar. Currently he is working as an Associate Professor and HOD of Aerospace Engineering.

Jamun Kumar N is currently serving as the Associate Professor and Head of the Department of Civil Engineering at SJC Institute of Technology (SJCIT), Chickballapur. He was born on 30 April 1991 in Hiriyur, Karnataka. He completed his Bachelor of Engineering in Civil Engineering from Visvesvaraya Technological University, Belgaum, in 2013 with an impressive 88.6%. He pursued his M.Tech in Structural Engineering from the Indian Institute of Technology (IIT) Roorkee in 2016, securing 92.3%, and earned his Ph.D. in Computational Mechanics from the prestigious Indian Institute of Science (IISc), Bangalore, in 2024. Dr. Jamun Kumar has a strong academic and research background. He worked as a Junior Research Fellow and Senior Research Fellow at IISc Bangalore between 2019 and 2024, where he gained extensive experience in computational and structural analysis. He also served as a Visiting Research Scholar at Texas A&M University, USA, from March 2023 to June 2023. Prior to joining SJCIT in November 2024, he was associated with Siemens Ltd, where his work on developing a fatigue life-cycle evaluation tool earned him a “3i Program” award and a Letter of Appreciation. His research expertise lies in the fields of computational mechanicDs, geometrically exact shell and beam models, mixed finite element methods, hyperelasticity, and computational modeling of structural components. He has also demonstrated excellence in competitive examinations, securing an All India Rank of 325 in GATE 2014 with a percentile of 99.64%.