Prediction for Coastal Wind Speed Based on Improved Variational Mode Decomposition and Recurrent Neural Network by Muyuan Du, Zhimeng Zhang, Chunning Ji

“…Accurate and comprehensive wind speed forecasting is crucial for improving efficiency in offshore wind power operation systems in coastal regions. …”
Get full text

Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations by Phuc Hao do, Tran Duc Le, Truong Duy Dinh, van Dai Pham

“…The rapid expansion of devices on the Internet of Things (IoTs) has led to a significant rise in IoT botnet attacks, creating an urgent need for advanced detection and classification methods. This study aims to evaluate the effectiveness of Kolmogorov-Arnold Networks (KANs) and their architectural variations in classifying IoT botnet attacks, comparing their performance with traditional machine learning and deep learning models. …”
Get full text

Seasonal variation and key factors influencing evapotranspiration partitioning in alpine ecosystems of the Qinghai Lake Basin by Wenyang Cao, Yao Wu, Jiayin Liu, Yuan Yuan, Cicheng Zhang, Shaojie Zhao, Pei Wang

“…The model’s effectiveness was validated by its consistency with observed energy fluxes, ground surface temperature, and the transpiration fraction of evapotranspiration (T/ET) derived from isotope methods, the underlying water use efficiency (uWUE) approach, and remote sensing data. …”
Get full text

Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

Get full text

VJDNet: A Simple Variational Joint Discrimination Network for Cross-Image Hyperspectral Anomaly Detection by Shiqi Wu, Xiangrong Zhang, Guanchun Wang, Puhua Chen, Jing Gu, Xina Cheng, Licheng Jiao

“…In this paper, a simple and lightweight unsupervised cross-image HAD method called Variational Joint Discrimination Network (VJDNet) is proposed. …”
Get full text

Impacts of high viscosity variation and internal heating on mantle convection in different aspect ratio cells by Tania S. Khaleque, Md. Shafiul A. Khan, Romana Yesmin

“…The primary goal of this research is to analyze the convection pattern at high Rayleigh number, including internal heating and significant viscosity variation across the mantle depth. Finite element method-based PDE solver is used to solve the model, incorporating viscosity based on both temperature only and temperature and pressure combined. …”
Get full text

An Echo State Network Approach for Parameter Variation Robustness Enhancement in FCS-MPC for PMSM Drives by Xiao Zeng, Jing Li, Pengcheng Yang, Hongda Cai, Yongzhi Zhou, Daren Li

“…By leveraging the structural simplicity and application efficiency of ESNs during training, the proposed approach is well-suited to tackling complex parameter variation challenges via online learning. …”
Get full text

Research on Water Flow Control Strategy for PEM Electrolyzer Considering the Anode Bubble Effect by Liheng An, Yizhi Tian, Haikun Zhao

Get full text

Internal Benchmarking of Thermal Power Plants оf Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, Y. Z. Farzaliyev, U. K. Ashurova

“…The results of the studies performed using the simulation method made it possible to establish that the smallest correlation occurs between the integral indicator calculated as the arithmetic mean of random variables and the integral indicator calculated as the coefficient of variation of the same random variables. …”
Get full text

An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

Get full text

Cost Efficiency and Effectiveness of Drone Applications in Bridge Condition Monitoring by Taraneh Askarzadeh, Raj Bridgelall

“…Bridges are an integral and important part of road networks, but monitoring their condition using traditional methods is expensive, dangerous, and laborious. This study examines the rapidly emerging field of drone-based transportation asset monitoring, focusing on analyzing the cost efficiency and effectiveness of drone applications in bridge condition monitoring. …”
Get full text

Transformative innovations igniting coffee supply chain process efficiency by Maya Irjayanti, Anton Mulyono Azis, Susilawati, Andika Rizki Sobari

“…This study employs a quantitative descriptive research approach, which is based on operational methods. The study presents the analysis in terms of production line efficiency, aiming to enhance the performance and competitiveness of Indonesian coffee providers. …”
Get full text

Increasing the drying unit energy efficiency through with thermoelectric modules by D. A. Tikhomirov, A. V. Khimenko, A. V. Kuzmichev

“…(Research purpose) The purpose of this study is to conduct laboratory experiments on the drying process of apples focusing on evaluating the energy consumption required to evaporate 1 kilogram of moisture using a newly developed convective thermoelectric drying unit and compare its energy efficiency with mass-produced convective dryers. (Materials and methods) The findings from theoretical and experimental studies facilitated the development of a functional diagram and a laboratory prototype of a convective thermoelectric dryer using a thermoelectric heat pump. …”
Get full text

Increasing Solar cell Efficiency using Quantum Dot Sensitization by Parashar Komal, Bobba Phaneendra babu, Samyuktha Penta, Fallah Mohammed Hussein, Chauhan Sanjay Singh, Verma Vikas, Rathour Abhinav, Gupta Manish

Get full text

A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

“…Therefore, we propose a method based on the modification of total variation (TV) for noise suppression in CT images which is helpful to preserve the clinically relevant details. …”
Get full text

Agronomic efficiency of partially acidulated and granulated Arraias phosphate rock by Vinicius de Melo Benites, Sulian Junkes Dal Molin, Cassio Sitta, Ernesto Sitta Neto, Carla Nascimento, Jéssica Franciele Kaminski Ramos, Philip A. Moore Jr.

“…For the second experiment, treatments were 15 % PAPR granulated to average sizes of 0.25, 0.75, 1.50, and 2.4 mm. The agronomic efficiency of all variations of the PR was lower than the TSP. …”
Get full text

Impact of temporal and rearing environment variations on brood ester pheromone production in the honey bee Apis mellifera by Mondet, Fanny, Beslay, Dominique, Cousin, Marianne, Le Conte, Yves

“…In this study, we investigated the temporal variations of BEP under natural conditions as well as the developmental variations of the 10 compounds for in-hive versus in vitro reared brood. …”
Get full text

Approximate Solutions of Nonlinear Boundary Value Problems by Collocation Methods Compared to Newer Methods by Hasan Ömür Özer, Birkan Durak, Aziz Sezgin, Lütfi Emir Sakman

“…A large variety of new methods are being developed for fast and efficient solutions of nonlinear boundary value problems. …”
Get full text

Recent Changes and Variation in Precipitation over Asia-Pacific Region in relation to Long-Term Temperature and MSLP by Gargi Akhoury, Kirti Avishek, Moushumi Hazra

“…The temperature datasets are analyzed up to the level 500 hPa. Monte Carlo method of correlation and Bootstrapping method of confidence interval are used to analyze the relation of GPCP with MSLP and temperature at all defined levels. …”
Get full text

VTformer: a novel multiscale linear transformer forecaster with variate-temporal dependency for multivariate time series by Rui Dai, Zheng Wang, Jing Jie, Wanliang Wang, Qianlin Ye

“…Moreover, a novel adaptive fusion method is designed to propagate complementary information from the perspective of variate and temporal to promote prediction. …”
Get full text