Reddy / Rao | Recent Trends in VLSI and Semiconductor Packaging | Buch | 978-1-041-01786-8 | sack.de

Buch, Englisch, 650 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1360 g

Reddy / Rao

Recent Trends in VLSI and Semiconductor Packaging


1. Auflage 2025
ISBN: 978-1-041-01786-8
Verlag: CRC Press

Buch, Englisch, 650 Seiten, Format (B × H): 210 mm x 280 mm, Gewicht: 1360 g

ISBN: 978-1-041-01786-8
Verlag: CRC Press


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.

Reddy / Rao Recent Trends in VLSI and Semiconductor Packaging jetzt bestellen!

Zielgruppe


General

Weitere Infos & Material


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.



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.