Results 61 to 70 of about 51,115 (241)

Configurable Kernel Map Implementation in Memristor Crossbar for Convolution Neural Network

Advanced Intelligent Systems
This study experimentally verifies a configurable convolutional neural network implementation in a 48 × 48 memristor crossbar array. It allows the number of convolution reading cycles to be adjusted based on design demands, such as area or time ...
Gyeonghae Kim, Sangwook Youn, Jinwoo Park, Hyungjin Kim   +3 more
doaj   +1 more source

Recognition method of accounting fraud risk based on financial knowledge graph

大数据, 2021
Since the accounting risk events exhibit complexity increasingly and occur frequently, a method merged by industrial knowledge and financial knowledge graph was proposed to recognize and prevent commercial bank's accounting risk more precisely.Based on ...
Qiang CHEN, Shiya DAI
doaj  

Cell Grid Architecture for Maritime Route Prediction on AIS Data Streams

, 2018
The 2018 Grand Challenge targets the problem of accurate predictions on data streams produced by automatic identification system (AIS) equipment, describing naval traffic.
Amariei, Ciprian, Diac, Paul, Onica, Emanuel, Roşca, Valentin   +3 more
core   +1 more source

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Beyond Diagonal RIS-Aided Networks: Performance Analysis and Sectorization Tradeoff

IEEE Open Journal of the Communications Society
Reconfigurable intelligent surfaces (RISs) have emerged as a spectrum- and energy-efficient technology to enhance the coverage of wireless communications within the upcoming 6G networks. Recently, novel extensions of this technology, referred to as multi-
Mostafa Samy, Hayder Al-Hraishawi, Abuzar B. M. Adam, Symeon Chatzinotas, Bjorn Ottersten   +4 more
doaj   +1 more source

MGSim - Simulation tools for multi-core processor architectures [PDF]

, 2013
MGSim is an open source discrete event simulator for on-chip hardware components, developed at the University of Amsterdam. It is intended to be a research and teaching vehicle to study the fine-grained hardware/software interactions on many-core and ...
Fu, Jian, Jesshope, Chris R., Lankamp, Mike, Poss, Raphael, Uddin, Irfan, Yang, Qiang   +5 more
core   +1 more source

LTE Spectrum Sharing Research Testbed: Integrated Hardware, Software, Network and Data

, 2017
This paper presents Virginia Tech's wireless testbed supporting research on long-term evolution (LTE) signaling and radio frequency (RF) spectrum coexistence. LTE is continuously refined and new features released.
Marojevic, Vuk, Nealy, Randall, Reed, Jeffrey H.   +2 more
core   +2 more sources

Empirical Analysis of Chirp and Multitones Performances with a UWB Software Defined Radar: Range, Distance and Doppler [PDF]

, 2014
In this study, a protocol for an unbiased analysis of radar signals' performance. Using a novel UWB software-defined radar, range profile, Doppler profile and detection range are evaluated for both Linear Frequency Modulated pulse and Multitones.
Gray, Derek, Le Kernec, Julien, Romain, Olivier   +2 more
core   +1 more source

Three Synchronized, Miniaturized, Wireless Inertial Measurement Unit Sensors for Automated Gait and Balance Analysis System

Advanced Intelligent Systems, EarlyView.
This study presents a compact, three IMU wearable system that enables accurate motion capture and robust gait‐feature extraction, thereby supporting reliable machine learning‐based balance evaluation. Accurate assessment of balance is critical for fall prevention and targeted rehabilitation, particularly in older adults and individuals with ...
Seok‐Hoon Choi, Ki‐Hoon Kim, Heung Jin Park, Yuna Kim, Hyunjin Lee, Yu Bin Lee, Youn Joung Kang, Sungchul Huh, Min‐Ho Seo   +8 more
wiley   +1 more source

A Flexible and Energy‐Efficient Compute‐in‐Memory Accelerator for Kolmogorov–Arnold Networks

Advanced Intelligent Systems, EarlyView.
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, Oliver Artner, Paul‐Philipp Manea, Sebastian Siegel, Susanne Hoffmann‐Eifert, Regina Dittmann, John Paul Strachan   +6 more
wiley   +1 more source