Results 151 to 160 of about 73,546 (289)

Engineered Metal–Organic Frameworks‐Based Materials for Environmental Detection

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Engineered metal–organic frameworks (MOFs) regulated by various material modification strategies are discussed for environmental contaminant detection under different sensing mechanisms, providing future improvements of MOFs in environmental detection. Sensitive and selective detection of contaminants is crucial for environmental protection.
Pan Gao, Song Wang, Yuechao Yao, Yibo Dou   +3 more
wiley   +1 more source

LLM-enabled adaptive scheduling in IoT sensing for optimized network performance. [PDF]

Sci Rep
Khan MN, Lee S, Lee SS, Shah M, Ullah I, Basheer S, Bashir AK.   +6 more
europepmc   +1 more source

Fish Scales: A Multifunctional Biomaterial from Nature

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Fish scales demonstrate nature's solution to impact protection through overlapping multilayered architecture. This biological design combines mineralized surfaces with collagen networks to achieve both flexibility and fracture resistance. The structural principles inspire advanced protective materials and biomedical implants, where damage tolerance ...
Liyao Dong, Xiaojie Sun, Xiguang Chen
wiley   +1 more source

Phase shift optimization in reconfigurable intelligent surface-assisted UAV in hierarchical aerial computing networks. [PDF]

Sci Rep
Diaa B, Ibrahim II, Abdelhaleem AM, Abdelhakam MM.   +3 more
europepmc   +1 more source

Synergistic Microstructure and Dielectric Engineering of Recyclable Single‐Electrode Triboelectric Nanogenerators for Sustainable Smart Homes

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A recyclable triboelectric nanogenerator integrating a pseudo‐honeycomb microstructure with liquid metal doping achieves 120% higher output (122 mW m−2) and >90% retention over seven cycles, enabling self‐powered smart home functions. The performance of single‐electrode triboelectric nanogenerators (SE‐TENGs) is governed by the effective contact area ...
Chencheng Hu, Yuehan Pei, Wenbo Hu, Yu Qi, Ruida Cao, Long Yang, Zitong Kan, Yang Lu, Biao Dong, Hongwei Song, Lin Xu   +10 more
wiley   +1 more source

Mapping Research Trends in AI-Based Tourism and Hospitality Marketing: A Bibliometric and Thematic Review. [PDF]

F1000Res
Tyagi PK, Aggarwal P, Tyagi P, Vasudevan A, Singh PK.   +4 more
europepmc   +1 more source

A Review of Overcurrent Protection in Smart Grids Under Cyber‐Physical Threats With a Cyber‐Physical Evaluation Framework

Energy Science &Engineering, EarlyView.
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali, Anas AlMajali, Naser Naily, Hassen Loukil, Salah AbuGhalyon, William Holderbaum, Abdelaziz Salah Saidi   +6 more
wiley   +1 more source

Personal HealthCare of Things: A novel paradigm and futuristic approach

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating
Surbhi Gupta, Mohammad Shabaz, Ankur Gupta, Abdullah Alqahtani, Shtwai Alsubai, Isaac Ofori   +5 more
wiley   +1 more source

IntelliScheduler: an edge-cloud computing environment hybrid deep learning framework for task scheduling based on learning. [PDF]

Sci Rep
Raju LR, Reddy MVK, Surukanti SR, Sudhakar G, Subrahmanya Sarma M VV, Adepu A.   +5 more
europepmc   +1 more source

Decentralized Federated Learning for Wind Turbine Bearing Prognostics Under Data Scarcity and Statistical Heterogeneity

Energy Science &Engineering, EarlyView.
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom, Lotfi Saidi, Eric Bechhoefer   +2 more
wiley   +1 more source