Results 101 to 110 of about 36,774 (260)

Urban bats show dietary flexibility in aquatic arthropod consumption at urban and rural waterbodies

Wildlife Biology, EarlyView.
Urban waterbodies are critical for biodiversity and provide feeding grounds for insectivorous bats. Yet, how urbanisation affects bats' food choices at urban waterbodies and the role of emergent aquatic arthropods remain poorly understood. We compared the diet of three urban bat species – Vespadelus vulturnus, Chalinolobus gouldii,and Myotis macropus –
Tanja M. Straka, Melissa E. Carew, Isabel Valenzuela, Stephen R. Griffiths, Pia E. Lentini, Linda F. Lumsden, Rahul Rane, Rodney Ree van der   +7 more
wiley   +1 more source

FirePSOSA: A Hybrid Metaheuristic Approach for Enhanced Segmentation of Maize Leaves [PDF]

Iranian Journal of Electrical and Electronic Engineering
The potential adverse effects of maize leaf diseases on agricultural productivity highlight the significance of precise disease diagnosis using effective leaf segmentation techniques. In order to improve maize leaf segmentation, especially for maize leaf
Priyanka Handa, Balkrishan Jindal
doaj  

Review on enhancing clinical decision support system using machine learning

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Clinical decision‐making is a complex patient‐centred process. For an informed clinical decision, the input data is very thorough ranging from detailed family history, environmental history, social history, health‐risk assessments, and prior relevant medical cases.
Anum Masood, Usman Naseem, Junaid Rashid, Jungeun Kim, Imran Razzak   +4 more
wiley   +1 more source

Application of Intelligent Systems in CO2 Management: State of the Art and Future Prospects

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Machine learning (ML) integration is becoming increasingly popular in advancing the 4th industrial revolution, known as Industry 4.0. This review paper examines ML applications in CO2 management stages: emission, capture, and conversion. ML models, including multiple linear regression (MLR), multiple nonlinear regression (MNLR), and artificial
Muhammad Zulkefal, Iftikhar Ahmad, Asad Habib, Asad Ayub, Hamza Sethi, Ihsanullah Ihsanullah, Hakan Caliskan, Hiki Hong   +7 more
wiley   +1 more source

Fuzzy optimum PSO: PSO with optimized fuzzy controllers

Majlesi Journal of Electrical Engineering
Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural parameters of basic PSO.
Omid Mokhlessi, Seyed Hamid Zahiri, Nasser Mehrshad   +2 more
openaire   +1 more source

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Multi‐Strategy Synergy‐Based Differential Evolution for Large Wind Farm Layout Optimization

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Exploring clean energy alternatives to fossil fuels has become a major research focus worldwide. Wind energy is regarded as one of the most promising renewable energy sources due to its clean and sustainable nature. However, wake interactions among turbines significantly reduce power conversion efficiency, making wind farm layout optimization (
Haotian Li, Yifei Yang, Qiong Fu, Zhenyu Lei, Zhe Xu, Shangce Gao   +5 more
wiley   +1 more source

Optimization of Wind‐PV Co‐Generation Systems Using Artificial Bee Colony and Back‐to‐Back Voltage Source Converter

IET Smart Energy Systems, EarlyView.
The Graphical Abstract depicts the proposed Artificial Bee Colony algorithm‐based optimal tuning of PI controllers for back‐to‐back Voltage Source Converters in a hybrid wind–PV system. ABSTRACT This paper proposes a hybrid model‐based back‐to‐back voltage‐source converter (B2B‐VSC) system comprising a Photovoltaic (PV) array and a Permanent Magnet ...
Ch. Sreenu, G. Mallesham, T. Chandra Shekar, Surender Reddy Salkuti   +3 more
wiley   +1 more source

Safety and Efficacy of Deucravacitinib in Japanese Patients With Moderate to Severe Plaque Psoriasis: 5‐Year Analysis of the Phase 3 POETYK PSO‐1, PSO‐4, and Long‐Term Extension Trials

The Journal of Dermatology, EarlyView.
ABSTRACT Deucravacitinib, an oral, selective tyrosine kinase 2 inhibitor, is approved in multiple countries for the treatment of moderate to severe plaque psoriasis, as well as generalized pustular and erythrodermic psoriasis in Japan. Deucravacitinib 6 mg once daily was efficacious and well tolerated through 3 years in the pooled population of ...
Yukari Okubo, Akimichi Morita, Yayoi Tada, Shinichi Imafuku, April W. Armstrong, Andrew Blauvelt, John Vaile, Zoran Popmihajlov, Janice Li, Rajesh Sawant, Katsuyoshi Habiro, Katsuki Tsuritani, Mamitaro Ohtsuki   +12 more
wiley   +1 more source

Protective Effect of Thai <i>Perilla frutescens</i> Seed Oil Against Chronic Obstructive Pulmonary Disease Induced by Cigarette Smoke Extract in a Mouse Model. [PDF]

Food Sci Nutr
Liamvilairat G, Srisuma S, Thongam J, Kettawan AK, Kettawan A, Rungruang T.   +5 more
europepmc   +1 more source