CFD investigation and ANN prediction of heat transfer coefficient for fully developed turbulent air flow around double V-baffle turbulators by Abdulaziz Alasiri, H.E. Fawaz

“…An ANN model is constructed to estimate the local heat transfer coefficient using results obtained from the current CFD simulations and utilizing axial local distance (X/P), Re, and BR as ANN input parameters. …”
Get full text

A Review on Current Technologies and Future Direction of Water Leakage Detection in Water Distribution Network by Mohammed Rezwanul Islam, Sami Azam, Bharanidharan Shanmugam, Deepika Mathur

Get full text

Crowding distance and IGD-driven grey wolf reinforcement learning approach for multi-objective agile earth observation satellite scheduling by He Wang, Weiquan Huang, Sindri Magnússon, Tony Lindgren, Chen Chen, Junyu Wu, Yanjie Song

Get full text

Synergistic Hierarchical AI Framework for USV Navigation: Closing the Loop Between Swin-Transformer Perception, T-ASTAR Planning, and Energy-Aware TD3 Control by Haonan Ye, Hongjun Tian, Qingyun Wu, Yihong Xue, Jiayu Xiao, Guijie Liu, Yang Xiong

“…Simulations and real-world data verify the framework’s superiority over benchmarks like A* and RRT, achieving 30% shorter routes, 70% fewer turns, 64.7% fewer dynamic collisions, and a 215-fold speed improvement in map generation via CUDA acceleration. This research underscores the importance of integrating powerful AI components within a hierarchical synergy, encompassing AI-based perception, hierarchical decision planning for guidance, and multi-stage optimal search algorithms for control. …”
Get full text

Hierarchical Structure of the Program Used by Filamentous Fungi to Navigate in Confining Microenvironments by Gala Montiel-Rubies, Marie Held, Kristi L. Hanson, Dan V. Nicolau, Radu C. Mocanasu, Falco C. M. J. M. van Delft, Dan V. Nicolau

Get full text

Predicting financial failure under traditional models and financial safety indicators (Proposed model) - analytical research for a sample of Banks listed on Iraqi stock exchange by Dr. Hayder Adnan Ghanawi

“…Giving weights based on the outputs of the genetic algorithm for the period from 2017-2022 for the Middle East Bank as a successful bank and for the Dar es Salaam Bank for the period 2012-2014 as a failed bank, and after testing the proposed model and comparing its results with the models of Altman, Sheerod, Kida, the research reached agreement on the results for the proposed model with typical Altman, sheerod. …”
Get full text

Using fishery-related data, scientific expertise, and machine learning to improve marine habitat mapping in northeastern Mediterranean waters by Loukas Katikas, Sofia Reizopoulou, Paraskevi Drakopoulou, Vassiliki Vassilopoulou

Get full text

A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in M... by Abhijeet Das

“…Therefore, this innovative research recommends integrating these modelling approaches due to their consistent and reliable results, which can reduce both the time and cost of analysis and be applied locally and globally using similar methodologies. …”
Get full text

Performance Analysis of Real-Time Detection Transformer and You Only Look Once Models for Weed Detection in Maize Cultivation by Oscar Leonardo García-Navarrete, Jesús Hernán Camacho-Tamayo, Anibal Bregon Bregon, Jorge Martín-García, Luis Manuel Navas-Gracia

Get full text

THE MODERNIZATION OF THE FINANCE SOURCES FOR THE ELECTRICITY INDUSTRY COMPANIES ON THE EXAMPLE OF «ENERGO» by V. V. Nazarova, Y. Y. Ivleva

Get full text

Robust Classification of Intramuscular EMG Signals to Aid the Diagnosis of Neuromuscular Disorders by Shobha Jose, S. Thomas George, M. S. P. Subathra, Vikram Shenoy Handiru, Poornaselvan Kittu Jeevanandam, Umberto Amato, Easter Selvan Suviseshamuthu

“…The FDs of LWT subband coefficients are fused with one-dimensional local binary pattern derived from each downsampled signal. …”
Get full text

Salp Navigation and Competitive based Parrot Optimizer (SNCPO) for efficient extreme learning machine training and global numerical optimization by Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ghanshyam G. Tejani, Aseel Smerat, Pankaj Kumar, Ephraim Bonah Agyekum

Get full text

A Novel Transformer-Based Multiscale Siamese Framework for High-Resolution Remote Sensing Change Detection by Liangjun Wang, Weitao Chen, Haoyi Wang, Zhengchao Chen

Get full text

Residual Life Prediction of Proton Exchange Membrane Fuel Cell Based on Improved ESN by Tiejiang YUAN, Rongsheng LI, Jiandong KANG, Huaguang YAN

Get full text

The prediction of karst-collapse susceptibility levels based on the ISSA-ELM integrated model by Jiaxin Wang, Ying Yang, Xian Yang, Yulong Lu, Yang Liu, Da Hu, Yongjia Hu

“…The methodology incorporates two key innovations: first, it applies a Singer chaotic mapping technique to enhance the sparrow search algorithm (SSA), effectively mitigating local optima entrapment by increasing population diversity and enhancing global search capabilities. …”
Get full text

Evidence and reality: an observational study on pharmacological outcomes in advanced head and neck tumors by Consuelo Jordán de Luna, Consuelo Jordán de Luna, Anna Esteve, Olalla Montero Pérez, Ana Clopés Estela, Ana Clopés Estela, Marc Oliva, Alicia Lozano Borbalas, Ricard Mesía Nin

Get full text

Enhanced securities investment strategy using ISSA–SVM: a hybrid model combining adaptive moving average, support vector machine, and multi-strategy sparrow search algorithm for im... by Wei Ni, Qingqing Chen, Xiaochen Guo, Yanan Liu

“…The strategy incorporates three key innovations: (1) an AMA algorithm that dynamically adjusts smoothing coefficients to market conditions, improving response speed and accuracy across different market environments. (2) SVM classification for trend prediction, leveraging its robust nonlinear classification capabilities. (3) a Multi-Strategy Sparrow Search Algorithm that optimizes multiple parameters and strategy combinations while avoiding local optima. …”
Get full text

THE SOLUTION OF MULTIEXTREME PROBLEMS BY THE SWARM SHARING METHOD by Rudolf A. NEYDORF, Anna A. DEREVYANKINA

Get full text

Improved optimization based on parrot’s chaotic optimizer for solving complex problems in engineering and medical image segmentation by Adil Sayyouri, Ahmed Bencherqui, Hanaa Mansouri, Hicham Karmouni, Hassane Moustabchir, Mhamed Sayyouri, Abderrahim Bourkane, Abdeljabbar Cherkaoui, S. S. Askar, Mohamed Abouhawwash

Get full text

Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. In this study, acoustic marine mammal classification is performed through the fusion of 1D Local Binary Pattern (1D-LBP) and Mel Frequency Cepstral Coefficient (MFCC) based features. …”
Get full text