Aggarwal / Tripathi / Sharma | Integrated Technologies in Electrical, Electronics and Biotechnology Engineering | Buch | 978-1-032-99833-6 | sack.de

Buch, Englisch, 656 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1370 g

Aggarwal / Tripathi / Sharma

Integrated Technologies in Electrical, Electronics and Biotechnology Engineering


1. Auflage 2025
ISBN: 978-1-032-99833-6
Verlag: CRC Press

Buch, Englisch, 656 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1370 g

ISBN: 978-1-032-99833-6
Verlag: CRC Press


The conference was aimed to bring researchers, practicing engineers, faculty members and students from across the globe to a common platform to share their research ideas that would pave way to attain solution to various real time problems. Many eminent researchers from different countries participated and interacted with the young students and budding researchers from various institutions. The objective of this conference was to connect with junior and senior scholars working with educational architecture of the past, present or future in the area of Semiconductor Devices & Electronic Circuit Design, Machine Vision & Signal Processing, Communication Technologies and Systems, Electromagnetic, RF, Microwave & Wearable Technology, Nano-Technologies & IC Fabrication, Biotechnology, Automation & Robotics, Electrical Machines and Adjustable Speed Drives, Renewable Energy Sources, Smart grids Technologies & Applications. Key features included keynote presentations from renowned experts, paper presentations showcasing novel research, interactive panel discussions, and exploring practical applications of emerging technologies.

Aggarwal / Tripathi / Sharma Integrated Technologies in Electrical, Electronics and Biotechnology Engineering jetzt bestellen!

Zielgruppe


Academic and General

Weitere Infos & Material


1. Analysis of round robin algorithm for load balancing in cloud computing  2. Wireless power transfer in biomedical engineering: A comprehensive review  3. Study of p-Spray dose in mixed irradiated p-MCz Si microstrip detector

using TCAD simulation  4. Solar wireless electric vehicle charging system  5. An ensemble of deep learning approach to pulmonary disease analysis  6. A multiport DC-DC converter with an intelligent controller for micro grid applications  7. Efficient design of solar powered air purifier with air quality monitor and dust sensor:

A review  8. Ensuring security and confidentiality in swarm-embedded systems  9. Design of a wearable segmented-staircase radiator for S band and X-band applications  10. Secured certificate generation using LSB and hybrid watermarking using MATLAB  11. Enhanced filtering and segmentation techniques in medical image processing: A comprehensive study  12. Harvesting the future: smart farming system  13. Generic computation of Meyer-König and Zeller operators scientific along with numerical

computing  14. Facial expression classification using deep learning  15. Skin lesion detection using statistical features and traditional machine learning methods:

A review  16. Wideband wearable semi octagon shaped antenna with rectangular defected ground

structure on jeans fabric  17. A case study: Energy audit at higher educational institute to reduce energy consumption,

cost of energy and environment impact for sustainable development  18. Live sign language interpretation  19. Design and implementation of an internet of things based health monitoring system  20. Design and analysis of a solar-powered electric vehicle charging station in PVsyst software  21. Study of bulk radiation damage effects in p-Fz SiMicro-strip detector for FCC experiment  22. Unravelling traditional machine learning to advanced deep learning: Autism detection using vision based gaze estimation and facial analysis  23. Personalized e-learning recommendation system  24. Predicting Parkinson’s disease using machine learning  25. Parkin sense: Multi modal monitoring of Parkinson’s disease using open BCI  26. Gas detection and fire alert system with cloud monitoring and reporting  27. Interference analysis in RF and microwave signals using machine learning techniques  28. Visualizing and forecasting stock using dash framework  29. Optimization of flexible antenna parameters through artificial neural network learning

with multilayer perceptron feed forward back propagation  30. A novel optimal key generation scheme in attribute based encryption for secure

blockchain-based data sharing  31. Mechanism of human rescues from borewell  32. Attendance automation system using face recognition  33. Multi-facial recognition in cloud-based attendance systems: Advancements and

applications  34. Fraud detection in credit card transactions using anomaly detection techniques  35. A novel voting classifier approach with PCA for breast cancer prediction  36. Machine learning approach for cardiovascular disease prediction  37. Implementing blockchain and cryptography techniques to create a secure data transmission

system in the industrial internet of things environment  38. Hardware implementation of virtual telepresence robot for medical services  39. Effect of multiple fuel injection strategies on the performance of common rail direct

injection engine fueled with biodiesel of used temple oil  40. Development and optimization of a cleaning robot for floor brooming and mopping  41. Prototype ventilator and health monitoring device for patient  42. Formal verification of M2M nodes for secure communications  43. Autonomous live streaming video surveillance robot prototype using DHT11 sensor and

MQ2 sensor  44. Ensuring trustworthy elections with dual biometric verification using facial and fingerprint

recognition  45. Design of Adder-based DA-OBC using inner product computation for memory-efficient

architecture  46. Health monitoring and safety system for coal mine using IoT and LoRaWAN technology  47. Enhancing trading strategies with technical analysis  48. Circular patch antenna gain enhancement through frequency-selective surface for x-band

applications  49. Recycling of lithium-ion battery  50. Comparative analysis of SVM and LSTM Models for predicting diabetes: Evaluating

performance and interpretability  51. Enhancement in smart homes: AI-driven energy consumption optimization through IoT

integration  52. Implementation and strategy for Sybil attack and DDoS attack in blockchain-based secure

routing protocol  53. A robust method of image processing for lung cancer diagnosis using ANN  54. Enhanced home security system: Anomaly and weapon detection, surveillance, and police

coordination using SVM, random forest, YOLO  55. Deep learning-powered defect detection in printed circuit boards using YOLOv9 approach  56. Unravelling key predictors for age-related health conditions through neural network

predictive modelling and explainable AI technique with LIME  57. Gain enhancement of antenna using novel meta-surface structures for 5G mm wave

application  58. Design and performance analysis of dual-band bandpass filter for sub-6GHz

communication  59. Classification of ECG signals using wavelet-based features and SVM  60. Linear matrix inequality based robust H8 controller design for three-input fourth order

integrated Dc-Dc converter  61. Comprehensive study on robust intrusion detection system to secure IoT environments  62. Analyzing stock options with web scraping and graphs  63. Enhancing school transportation system efficiency and security: Real-time monitoring

approaching using RFID, GSM and GPS  64. Improving coal mining efficiency and safety by monitoring equipment in real-time using

a nano 33 BLE sense lite  65. Chat craft: Innovative tool for Whatsapp chat analysis  66. Employing machine learning for analysis of diabetes progression and prediction  67. Advanced road sign detection and interpretation system leveraging CNN with Nvidia  68. Energy-efficient space heating systems using solar thermal collectors: A focus on Kashmir  69. Threat intelligence and prediction for DDoS attacks in cloud computing  70. Enhancing DDoS attack detection and mitigation in SDN environments with a novel

framework  71. Frequency and linearity parameter analysis of nanotube junction-less gate all around

MOSFET and their dependence on inner and outer radius of gate  72. Arduino-based library-assistant robot using Internet of Things  73. Analysis the performance of a connected-grid and PV systems: A case study on Bhilai steel

plant, Chhattisgarh  74. Agrivoltaic ambiance classification using LSXG model with real-time dataset  75. Integrating inflated 3D convnet and temporal convolutions for recognizing human

actions  76. Deep learning-enabled enhancement of breast cancer diagnosis through ultrasound imaging  77. Investigating deep learning techniques for authentic Indian food recognition  78. Pattern representation method in time-series data: A survey  79. Supercharging web 3.0 authentication: Security, privacy, and user autonomy  80. Analyzing Meyer-König and Zeller operators in scientific and numerical computing  81. Detecting cotton leaf disease using machine learning  82. A deep dive into ultrasonic sensor HC-SR04 performance in visually impaired navigation

systems  83. Facial recognition with deep learning in Keras using CNN  84. Enhancing security with machine learning: A smart locking system approach  85. A novel adaptive Levenberg Marquardt algorithm for industrial robot inverse kinematics  86. Deep learning with spearman correlation matrix approach for forecasting corporate social

responsibility perception  87. CASA: Revolutionizing seizure prediction for epilepsy management through African vulture

optimization algorithm  88. Performance analysis of hybrid beamforming optimization techniques in massive MIMO  89. Advancements in hybrid beamforming for massive MIMO: Design, challenges, and

opportunities  90. Brain tumor detection and classification by leveraging deep neural network  91. Design analysis of 8T SRAM cell on 90 nanometer technology  92. Co-planar structured IDT and microheater based Pt- doped ZnO thin film sensor  93. Substrate bias effect on 10T full adder cell in super threshold region for low power and

high-speed applications  94. Review of recent techniques in partial discharge measurement and detection at different

AC voltage stresses in high voltage cables  95. Artificial intelligence and machine learning: Shaping the future of computing with

significant real-world potential  96. Artificial intelligence based on multi objective algorithm for effective load forecasting  97. Intelligent medicine container management system  98. A Review of Recent Advancements and Future Direction in Emerging Active Power

Filtering Techniques for Grid-Connected Photovoltaic Systems  99. Automated gas burner control mechanism for milk boiling process using Arduino  100. Feature selection methods in machine learning: A review  101. Integrating robotics for intelligent manufacturing: A pathway to advancement  102. Conceptualization of human emotions and gesture detector using deep learning  103. Energy efficient 8-Bit GDI approximate adder for low-power computing applications  104. EVOCARE: Evolution of healthcare records using blockchain


Gaurav Aggarwal, Faculty, Electronics & Communication Engineering, Chandigarh University, Mohali, India, is an erudite academician and a qualified Electronics (VLSI) Engineer with high caliber and extensive experience of over 20 years in College Administration, Research, Delivering enthusiastic instruction for academic excellence.

Ashutosh Tripathi is Head of Department, Electronics & Communication Engineering Department, Chandigarh University, Mohali, India and has a total of 21 years of experience. He has worked with prestigious organizations like Amity university and BWU. Instrumental in building the departments/institutes from ground level zero and worked in resource management and optimization, curriculum development, student engagement, faculty development, Industry alignment and international linkages.

Himani Goyal Sharma, Professor, Electrical Engineering, Chandigarh University, Mohali, India is an exceptionally qualified academician with widely varied experience of more than 15 years in Research & Development / Teaching with leading organizations / educational institute, HRM.

Tripti Sharma has achieved her M.Tech. and Ph. D. degree in the field of Low Power VLSI Circuits Design. She has 23 years of teaching experience along with intense research interest. Her research interests include Digital & Analog low power VLSI circuits and Double Gate MOSFET Circuit Design & Analysis.

Rishabh Dev Shukla, a Ph.D. graduate in Advanced Power Electronics from MNNIT Allahabad (2015), brings 14 years of academic and administrative experience across reputed institutions, including MNNIT Allahabad, BBIT Kolkata, and Kaziranga University, Assam. He specializes in curriculum development, faculty growth, and accreditation processes (NAAC, NIRF, NBA, ABET) and is a member of IEEE, IE(I), and ISLE.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.