Results 141 to 150 of about 28,854 (308)
Bidirectional multilevel converter for electric vehicles [PDF]
In this paper is presented an H-Bridge Multilevel Converter topology for Electric Vehicles (EVs) and Plug-in Hybrid Electric Vehicles (PHEVs). The topology of the presented multilevel converter allows the interface between the batteries, the electric ...
Afonso, João L. +4 more
core
Device‐Level Implementation of Reservoir Computing With Memristors
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley +1 more source
Droplet‐based microfluidics enables precise, high‐throughput microscale reactions but continues to face challenges in scalability, reproducibility, and data complexity. This review examines how artificial intelligence enhances droplet generation, detection, sorting, and adaptive control and discusses emerging opportunities for clinical and industrial ...
Junyan Lai +10 more
wiley +1 more source
This paper presents a novel multilevel current source rectifier (MCSR) with dual DC outputs and a reduced number of active switches. The number of switches is reduced by replacing them with diodes.
Nayara Ingrid Lisboa Santos +2 more
doaj +1 more source
A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks
This article presents KA‐CIM, a compute‐in‐memory accelerator for Kolmogorov–Arnold Networks (KANs). It enables flexible and efficient computation of arbitrary nonlinear functions through cross‐layer co‐optimization from algorithm to device. KA‐CIM surpasses CPU, ASIC, VMM‐CIM, and prior KAN accelerators by 1–3 orders of magnitude in energy‐delay ...
Chirag Sudarshan +6 more
wiley +1 more source
Methods for Setting Device Specifications for Analog In‐Memory Computing Inference
Non‐volatile memories (NVMs) are being developed for analog in‐memory computing for energy‐efficient, high‐speed deep learning inference. As technology is moving to industry adoption, a method to define required NVM specifications is critical for improving performance and reducing manufacturing cost.
Zhenyu Wu +3 more
wiley +1 more source
To enable next generation robotic space exploration, innovations in the area of high step-down voltage converters is necessary. This work explores the use of multilevel hybrid switched-capacitor power converters which have unique advantages in mass ...
Samantha Coday +6 more
doaj +1 more source
Components for oversampled signal processors [PDF]
Oversampled converters trade transmission bandwidth for resolution. An idealized model gives an insight into the way in which signals are encoded and thus how they can be manipulated.
Monk, John
core
Sustainable Cellulose Ionogels With Promising Physical Structure, Properties, and Applications
This study presents a comprehensive overview of cellulose functional gels, focusing on their molecular network design and physical properties. The extensive potential applications of cellulose gels in flexible electronics, biomedicine, and smart engineering are explored in depth. This work provides valuable insights and guidance for future research and
Wenjuan Wang +6 more
wiley +1 more source
Real-time data compression of broadcast video signals [PDF]
A non-adaptive predictor, a nonuniform quantizer, and a multi-level Huffman coder are incorporated into a differential pulse code modulation system for coding and decoding broadcast video signals in real ...
Barnes, Scott P. +2 more
core +2 more sources

