05343nam a22005895i 4500 978-981-99-7077-3 DE-He213 20251030111404.0 cr nn 008mamaa 240127s2024 si | s |||| 0|eng d 9789819970773 978-981-99-7077-3 10.1007/978-981-99-7077-3 doi TK5102.9 TJF bicssc UYS bicssc TEC067000 bisacsh TJF thema UYS thema Innovations in VLSI, Signal Processing and Computational Technologies [electronic resource] : Select Proceedings of the 2nd International Conference, WREC 2023 / edited by Gayatri Mehta, Nilmini Wickramasinghe, Deepti Kakkar. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. XII, 599 p. 261 illus., 210 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1095 A Comprehensive Review to Investigate the Effect of Read Port Topology on the Performance of Different 7T SRAM Cells -- Metrics Evaluation of Bell pepper disease classification using Deep Convolutional Neural Network (DCNN) -- Self-Attention based Deep learning approach for Machine Translation of Low Resource Languages: A case of Sanskrit-Hindi -- Rotor Unbalance Severity Detection using Maximum Overlap Discrete Wavelet Transform -- SOT-MRAM Memories for energy efficient Embedded and AI applications -- Reinforcement Learning Method for Identifying Health Issues for People with Chronic Diseases -- NG-PON3 based bidirectional high-speed PON with 1:32/64/128 split ratio -- Effect of lithium dopant on Stanene Nanotube’s properties -- All-p-type Digital Circuits using Single Gate and Double Gate Organic Field effect Transistors -- VLSI Floorplan Area Optimization Technique -- Analysis of Agricultural Commodities Prices using BART A Machine learning technique -- Deep learning model-based approach for agricultural crop price prediction in Indian Market -- Internet of Healthcare Things Enabled Open-Source Non-Invasive Wearable Sensor Architecture for Incessant Real-Time Pneumonia Patient Monitoring -- Data Pre Processing Techniques for Brain Tumor Classification -- A systematic approach for Effective Apgar Score assessment in 1 and 5 minutes using manifold machine learning algorithms -- A Novel Approach for Detection of Lumpy Virus -- Deep – Learning based Multi-Label Image Classification for Chest X-Rays -- Detection and Classification of Blood Cancer Using Deep Learning Framework -- Enhanced Intracranial tumor strain prediction and detection using Transfer and Multilevel Ensemble Learning -- RF-MEMS SPDT Capacitive Switch: Accelerating the Performance in B5G Applications -- Fine-Tuning The Deep Learning Models Using Transfer Learning For Lung Diseases Classification From Chest Radiographs -- Entity Perception Using Remotely Piloted Aerial Vehicle. This volume comprises the select proceedings of the 2nd International Conference on Women Researchers in Electronics and Computing (WREC 2023). The content discusses novel contributions and the latest developments in signal/image processing, VLSI design, futuristic communication, and computational technologies. The contents include papers on signal processing for communications & networking, machine learning and deep learning for signal processing, human-computer interface, 5G/6G wireless technologies, green and energy efficient wireless networks, software-defined networking (SDN), optical communications and networks, mobility management and models, VLSI testing, ASIC/FPGA design, analog/digital and mixed signals ICs, biosensors and bioelectronics, knowledge engineering, 3D printing and scanning, computational intelligence, among others. This volume will be of immense interest to researchers in academia and industry working in electronics, communication, and signal processing. Signal processing. Computational intelligence. 64052 Artificial intelligence. 58441 Signal, Speech and Image Processing. Computational Intelligence. 64052 Artificial Intelligence. 58441 Mehta, Gayatri. editor. edt http://id.loc.gov/vocabulary/relators/edt 70007 Wickramasinghe, Nilmini. editor. edt http://id.loc.gov/vocabulary/relators/edt 70008 Kakkar, Deepti. editor. edt http://id.loc.gov/vocabulary/relators/edt 70009 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819970766 Printed edition: 9789819970780 Printed edition: 9789819970797 Lecture Notes in Electrical Engineering, 1876-1119 ; 1095 https://doi.org/10.1007/978-981-99-7077-3 ZDB-2-ENG ZDB-2-SXE 57333 57333