Results 71 to 80 of about 584 (198)

EMOPP-IRS: Evolutionary Multi-Objective Path Planning for Intelligent IRS-Assisted IoT Networks

IEEE Open Journal of the Communications Society
Intelligent Reflecting Surfaces (IRS) have recently emerged as a transformative technology in the realm of satellite communication networks, particularly in Space-Air-Ground Integrated Networks (SAGIN), offering significant improvements, particularly in ...
Muhammad Farhan, Lei Wang, Nadir Shah, Gabriel-Miro Muntean   +3 more
doaj   +1 more source

Proto‐Panic Modulation by Caffeine‐Proteinoid Complexes

Journal of Applied Polymer Science, Volume 143, Issue 41, November 5, 2026.
Caffeine–proteinoid microspheres synthesized by thermal polymerization exhibit compartmentalized drug loading with encapsulation efficiencies of 61%–82% and triphasic release kinetics. Electrochemical monitoring reveals multi‐scale oscillatory dynamics consistent with chaotic and damped harmonic behavior, while Boolean logic operations demonstrate ...
Panagiotis Mougkogiannis, Andrew Adamatzky   +1 more
wiley   +1 more source

Phototherapy Strategies for Cancer Treatment: Mechanisms and Emerging Nanomaterials

Aggregate, Volume 7, Issue 10, October 2026.
Phototherapy offers spatiotemporally controlled cancer treatment by converting light into heat, reactive oxygen species, immune activation, and therapeutic gas release. This review summarizes the mechanisms and emerging nanomaterials for photothermal therapy, photodynamic therapy, photoimmunotherapy, and photo‐gas therapy, emphasizing structure ...
Fan Liu, Jun Huang
wiley   +1 more source

Explainable Machine Learning for Predicting Global Malaria Incidence From 2000 to 2022 With Climatic and Extreme Weather Conditions Across 78 Endemic Countries: A Retrospective Ecological Study

Health Science Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background and Aims Malaria remains a major global health concern, causing substantial morbidity and mortality, especially in tropical and subtropical regions with limited healthcare resources. Climatic conditions and extreme weather events are increasingly recognized as critical determinants of malaria transmission, yet their relative ...
Md. Abu Bokkor Shiddik, Md. Abdullah Al Fahad Sohan   +1 more
wiley   +1 more source

From Flybys to Sample Return: A Review of Space Probes and Robotic Sampling Technologies for Small Bodies

Journal of Field Robotics, Volume 43, Issue 7, Page 4475-4514, October 2026.
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang, Hao Zhou, Dalin Zhou, Zhaojie Ju   +3 more
wiley   +1 more source

Intelligent Reflecting Surface Aided Target Localization With Unknown Transceiver-IRS Channel State Information

IEEE Transactions on Communications
Integrating wireless sensing capabilities into base stations (BSs) has become a widespread trend in the future beyond fifth-generation (B5G)/sixth-generation (6G) wireless networks. In this paper, we investigate intelligent reflecting surface (IRS) enabled wireless localization, in which an IRS is deployed to assist a BS in locating a target in its non-
Taotao Ji, Meng Hua, Xuanhong Yan, Chunguo Li, Yongming Huang, Luxi Yang   +5 more
openaire   +3 more sources

A Spectral Efficiency Design for Active IRS-assisted SWIPT System via Semidefinite Relaxation Method

Journal of Telecommunications and Information Technology
Active intelligent reflecting surfaces (IRS) with phase-shift and amplifier capabilities have arisen as a solution relied upon to improve spectral/energy efficiency of wireless systems, as they outperform conventional passive techniques/without IRS ...
Pham Viet Tuan, Hoang Dai Long, Pham Ngoc Son, Mai T. P. Le   +3 more
doaj   +1 more source

Enhancing Significant Wave Height Simulations Using Distribution‐Aware Deep Learning and Environmental Predictors

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Numerical wave models are widely used for wave forecasting and hindcast data set construction; however, their outputs frequently exhibit systematic biases stemming from uncertainties in wind forcing, physical parameterizations, and bathymetry. To address this issue, a deep learning–based bias correction approach is applied to significant wave ...
Jiageng Han, Shuiqing Li, Delei Li, Yong Fang, Zongyu Li, Jialin Liu, Po Hu   +6 more
wiley   +1 more source

Optimizing sum rates in IoT networks: A novel IRS-NOMA cooperative system

ICT Express
Intelligent Reflecting Surfaces (IRS) offer a promising solution for enhancing sum rates in wireless networks by dynamically adjusting signal reflections to optimize propagation paths.
Mukkara Prasanna Kumar, Ammar Summaq, Sunil Chinnadurai, Poongundran Selvaprabhu, Vinoth Babu Kumaravelu, Md. Abdul Latif Sarker, Dong Seog Han   +6 more
doaj   +1 more source

A Machine Learning Framework for Retrieving Atmospheric Composition and the Associated Averaging Kernels From a Geostationary Hyperspectral Infrared Sounder

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Geostationary hyperspectral infrared sounders provide hourly observations of the atmospheric composition. However, the conventional optimal estimation method (OEM)‐based retrieval algorithm requires computationally expensive radiative transfer calculations and inverse modeling, making it difficult to monitor in real time. This study presents a
Sirui Wu, Jiancong Hua, Runyi Zhou, Mengya Sheng, Zhao‐Cheng Zeng   +4 more
wiley   +1 more source