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Recent Trends in VLSI and Semiconductor Packaging

T. Vasudeva Reddy K. Madhava Rao

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English
CRC Press
06 May 2025
The International conference on Semiconductor Materials packaging, AI&ML, Reconfigurable VLSI architectures for IoT, future Communication Technologies (“SMART-2024”) aimed to provide a platform for researchers, academicians, industry experts, and practitioners to exchange ideas, present research findings, and discuss emerging trends and challenges in the specified fields. “SMART-2024” seeked to foster collaboration, innovation, and knowledge dissemination by bringing together experts and stakeholders from diverse backgrounds to address key issues and explore new research directions. The conference targeted a diverse audience including researchers, academicians, scientists, engineers, technologists, industry professionals, students, policymakers, and other stakeholders interested in VLSI, IoT, AI-ML, communication systems, semiconductor packaging, hetero architecture devices, and Nano materials.
Edited by:   ,
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 280mm,  Width: 210mm, 
Weight:   1.200kg
ISBN:   9781041017875
ISBN 10:   1041017871
Pages:   616
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Active
1. Tumor extraction system using U-Net and Adamax optimizer 2. Future facts of Amazon deforestation based on static data over 2015–2023 3. Neura flow: cardiac output monitoring via deep learning from arterial pressure 4. A comparative performance analysis of support vector machine and custom spectral CNN for hyperspectral image classification 5. IoT based energy efficient air conditioning system using machine learning 6. A study on audio steganographic healthcare transmission in 5G 7. Design and verification of 16 & 32-Bit CPUS using ARM architecture 8. IoT-driven solar-powered robotic lawn mower and water sprinkler 9. Neuro-enhanced copilot wheelchair: a comprehensive study 10. Analysis of chronic kidney disease using machine learning techniques 11. Internet of things (IoT) and solar based sowing seed agriculture robot using Arduino mega 12. Efficient fall detection for elderly with integrated machine learning and sensor networks 13. Compact high isolation 4 × 4 MIMO antenna 14. ST-QCA based error free and area efficient 4:2 compressor design 15. Precision enhancement through truncated multiplier design in filter structure applications 16. Design and numerical investigations of ITO/SnO2/CdS/CH3NH3SnI3/CuSCN/Au perovskite solar cell 17. Deep enhance: Convolutional neural network-based enhancement of underwater images 18. Arduino controlled radar guided defence system for detecting and tracking threats 19. Implementing question answering models with BERT (bidirectional encoder representations from transformers) 20. Enhancing video summarization with natural language processing 21. Automated hydroponic plant growth system using IoT 22. Broadband light communication link: performance assessment of series parallel EDFA families and RAMAN amplifier structures 23. Design and implementation of 4-2 approximate compressor for FPGA 24. MRFIR: Area and power efficient modified reconfigurable FIR filter 25. Implementation of AI-powered adaptive communication for differently abled people using LSTM 26. Real-time implementation of DCT-based image compression for robotics applications 27. Predicting bitcoin value fluctuations using machine learning 28. A case study focusing on partial reconfiguration using FPGA 29. Smart tag EMS: utilizing intelligent navigation and communication to transform ambulance response 30. Sentiment analysis and visualization of real and fake reviews 31. Implementation of different approximate sum-of-products models for the gaussian filter 32. Leveraging Apriori and Bi-LSTM networks to uncover complex purchase patterns in market basket analysis 33. Improving brain tumor detection and classification through skull stripping and multi-scale convolutional neural network 34. Tourism recommendation system based on sentiment analysis and machine learning 35. Multi mode force based interactive device for patients with neurological disorders 36. Design and implementation of Binary-Ring-LWE 37. RNS integer arithmetic design for elliptic curve cryptography 38. Efficient design of a 16-Bit multiplier with low power and high-speed capabilities 39. Hardware-based design to estimate the movement of elderly in indoor environments 40. A study on DDD mode delay optimization in dual chamber pacemaker 41. Automatic live location sharing for real-time vehicle tracking 42. IOT based robotic solutions for hospital security using ESP32 microcontroller 43. Offset binary coding-based symmetrical 2D FIR FBs using FPGA and ASIC designs 44. A broadband, circularly polarized UHF RFID reader antenna for traffic vehicles detection 45. Design of sample-hold circuit for optimal operating conditions 46. A study of low power high-speed sense amplifier for memory applications 47. Development of smart and secure home automation prototype with IoT 48. Enhanced web application for food ordering with machine leaning based predictive analytics 49. Enhancing campus mobility: locating optimal docking stations and design an authorized accessibility system for public bicycle sharing system 50. Smart hearing wheelchair for disable people 51. Design and performance analysis of 880-960 MHz power amplifier for 5G new radio n8 frequency band applications 52. YOLOv8 based segmentation and ResNet-50 classifier for medical image retrieval and classification 53. A novel ensemble approach for enhanced heart disease prediction 54. Enhancing thyroid cancer diagnosis with ensemble machine learning techniques 55. Water filter replacement alarm 56. Near-infrared based glucose monitoring system 57. Real-time guidance for smooth Indoor navigation environments 58. Utilizing an IORT-based remote access vehicle for monitoring 59. Design and analysis of a quantum FinFET-based memristor with gate diffusion input for neuromorphic computing applications using 16 nm technology 60. Enhancing security by monitoring the behavior of different classification algorithms 61. ‘Convolutional neural network architecture for tumor segmentation identification leveraging the VGG-16 model 62. Efficient power optimization strategies in 5G communication networks: a comprehensive review 63. Addressing special skew and minimum pulse width checks in static timing analysis 64. A Comparative analysis of denoising PCG signals using adaptive Wiener-Kalman filtering 65. Circuit analysis realization for a three dimensional coexisting chaotic attractor system utilizing a single multiplier and its use in secure communication 66. Optimizing fault coverage in VLSI circuits via balanced scan chain analysis 67. Robust test pattern generators for secure built-in self-test implementation 68. Design and performance analysis of automated floor cleaning robot 69. Designing and simulations of PCF-SPR based biosensor 70. Predicting energy consumption for smart buildings in a smart grid scenario using machine learning models 71. A novel machine learning and deep learning feature for identification of cardiac arrhythmia from ECG – images 72. Low power single phase clock flip-flop design with redundancy elimination and power gating technique 73. Variations in total electron content (TEC) and earth’s magnetic field at some stage in quiet and disturbed days 74. Embedded AI for agriculture: the Agro onion bo Agro Onion Bot for efficient onion cultivation 75. Design and development of egg incubator to reduce pre-mature hatching 76. Lung sounds classification using parallel pooling structure with CNN model 77. Design of peripheral component interconnect express physical layer 78. Design and development of multilevel security system in automated teller machine 79. Full-custom design-based efficient 2D-FIR filter architecture using approximate multipliers and high speed adders

T. Vasudeva Reddy is an Associate Professor in Electronics and Communication Engineering (ECE), B V RAJU Institute of Technology, Narsapur. His expertise lies in enhancing electronic system efficiency, focusing on power consumption, area utilization, and signal delay optimization. His research encompasses Low Power SRAM Architectures, Sub-threshold SRAM Designs, and MEMS Devices for Coagulation Effect, supported by a rich publication record and a commitment to innovative research. K. Madhava Rao, Assistant Professor at B V RAJU Institute of Technology, Narsapur since 2016, boasts a comprehensive exploration and contribution to electronics and communication engineering. His research covers hardware implementation, low-power techniques, FPGA-based systems, and advanced memory designs, presented at international conferences and esteemed journals.

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