Results 181 to 190 of about 1,648,250 (343)

Enabling pandemic‐resilient healthcare: Narrowband Internet of Things and edge intelligence for real‐time monitoring

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Internet of Things (IoT) in deploying robotic sprayers for pandemic‐associated disinfection and monitoring has garnered significant attention in recent research. The authors introduce a novel architectural framework designed to interconnect smart monitoring robotic devices within healthcare facilities using narrowband Internet of Things ...
Md Motaharul Islam, Mohammad Kamrul Hasan, Shayla Islam, Mohammed Balfaqih, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nurhizam Safie, Zaheed Ahmed Bhuiyan, Rahul Thakkar, Taher M. Ghazal   +9 more
wiley   +1 more source

Robust steganographic framework for securing sensitive healthcare data of telemedicine using convolutional neural network

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Data is the key element that runs the modern society. Large amounts of data are being released day by day as a result of many activities. The digital data is transferred through the Internet which may be vulnerable to attacks while transmitting. Especially, the medical data is observed to be of at most importance.
Rupa Ch, Venkayya Yadlapalli, Suhana Sulthana Sk, G. Thippa Reddy, Sandeep Kautish   +4 more
wiley   +1 more source

Bat algorithm based on kinetic adaptation and elite communication for engineering problems

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract The Bat algorithm, a metaheuristic optimization technique inspired by the foraging behaviour of bats, has been employed to tackle optimization problems. Known for its ease of implementation, parameter tunability, and strong global search capabilities, this algorithm finds application across diverse optimization problem domains. However, in the
Chong Yuan, Dong Zhao, Ali Asghar Heidari, Lei Liu, Shuihua Wang, Huiling Chen, Yudong Zhang   +6 more
wiley   +1 more source

Random Strip Peeling: A novel lightweight image encryption for IoT devices based on colour planes permutation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract This paper introduces a novel lightweight colour image encryption algorithm, specifically designed for resource‐constrained environments such as Internet of Things (IoT) devices. As IoT systems become increasingly prevalent, secure and efficient data transmission becomes crucial.
Kenan İnce, Cemile İnce, Davut Hanbay
wiley   +1 more source

Prospective association between evening circadian preference and academic functioning in adolescents: the role of daytime sleepiness

Journal of Child Psychology and Psychiatry, Volume 64, Issue 1, Page 175-184, January 2023., 2023
Background There is growing evidence for the role of circadian factors in adolescents' sleep and academic adjustment, with greater evening preference being linked to poorer academic functioning. However, studies have yet to evaluate this association prospectively in adolescence, nor have studies examined daytime sleepiness as a putative mechanism ...
Joseph W. Fredrick, Taryn E. Cook, Joshua M. Langberg, Stephen P. Becker   +3 more
wiley   +1 more source

Blockchain for Peer‐to‐Peer Energy Trading in Electric Vehicle Charging Stations With Constrained Power Distribution and Urban Transportation Networks

Energy Internet, EarlyView.
ABSTRACT The proliferation of distributed energy resources (DERs) and the large‐scale electrification of transportation are driving forces behind the ongoing evolution for transforming traditionally passive consumers into prosumers (both consumers and producers) in coordinated power distribution network (PDN) and urban transportation network (UTN).
Matin Farhoumandi, Sheida Bahramirad, Mohammad Shahidehpour, Ahmed Alabdulwahab   +3 more
wiley   +1 more source

Shared Hash Tables in Parallel Model Checking

, 2008
Jǐŕı Barnat, Petr Ročkai
openalex   +1 more source

Research on digital twin modelling technique for ±800 kV converter transformers scene based on hybrid attention mechanism and multiresolution hash encoding

High Voltage, EarlyView.
Abstract Digital twin (DT) modelling is a prerequisite for the successful application of DT technology in the power industry. However, traditional scene modelling methods are costly, time‐consuming, focus on overall features and lack real‐time updates, hindering the interaction between DT models and physical power equipment scenes.
Hao Luo, Li Cheng, Pengyong Yi, Jiuyi Wang, Xuetong Zhao, Lijun Yang, Ruijin Liao   +6 more
wiley   +1 more source

Cost-optimal assignment of elements in genome-scale multi-way bucketed Cuckoo hash tables [PDF]

, 2019
Jens Zentgraf, Henning Timm, Sven Rahmann   +2 more
openalex   +1 more source

Perfect Hamming code with a hash table for faster genome mapping. [PDF]

BMC Genomics, 2011
Takenaka Y, Seno S, Matsuda H.
europepmc   +1 more source