METAHEURISTIC-DRIVEN MULTI OBJECTIVE FIR FILTER DESIGN FOR ECG DENOISING by Mehmet Fatih Karakaş, Fatma Latifoğlu

“…This study introduces a novel multi-objective metaheuristic approach for Finite Impulse Response (FIR) filter design, addressing the complex challenges of signal processing optimization. The research employs advanced metaheuristic algorithms, including Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Genetic Algorithm (GA), Black Widow Optimization (BWO), Chaos Game Optimization (CGO), Harmony Search (HS), Squirrel Search Algorithm (SSA), and Atomic Orbital Search (AOS) to optimize multiple filter design parameters jointly. …”
Get full text

Forecasting Lake Nokoué Water Levels Using Long Short-Term Memory Network by Namwinwelbere Dabire, Eugene C. Ezin, Adandedji M. Firmin

Get full text

Deep learning-based edge detection for random natural images by Kanija Muntarina, Rafid Mostafiz, Sumaita Binte Shorif, Mohammad Shorif Uddin

“…Through comprehensive experimentation and analysis, this research contributes to advancing the state-of-the-art in edge detection for random natural images, providing insights into the optimal application of deep learning techniques in this domain.…”
Get full text

Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks by Guo Li, Hongyu Sheng

“…The approach utilizes Radial Basis Function (RBF) models enhanced with advanced optimization algorithms, including Coot Optimization Algorithm (COA), Smell Agent Optimization (SAO), and Northern Goshawk Optimization (NGO) to improve ALE prediction accuracy. …”
Get full text

Synchronous Remote Calibration for Electricity Meters: Application and Optimization by Zhiyong Zha, Hanfang Ge, Chengcheng Zou, Fei Long, Xingfeng He, Geng Wu, Chenxi Dong, Tianping Deng, Jiaxiang Xu

“…Remote calibration is an advanced methodology that leverages electricity meters, intelligent detection, and computing technologies to enhance calibration efficiency and precision significantly. However, current research predominantly focuses on isolated calibration architectures tailored to single-laboratory environments. …”
Get full text

Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges by Vasileios Nittas, Kelly E. Ormond, Effy Vayena, Alessandro Blasimme

“…ML will continue to advance cancer research and provide opportunities for patient-centric, personalized, and efficient precision oncology. …”
Get full text

Feasibility Analysis of Tamura Features in the Identification of Machined Surface Images Using Machine Learning and Image Processing Techniques by Raghavendra C. Kamath, G. S. Vijay, Ganesha Prasad, P. Krishnananda Rao, Uday Kumar Shetty, Gautham Parameshwaran, Aniket Shenoy, Prithvi Shetty

“…The result shows that each machine learning (ML) algorithm performs differently while classifying the same set of machined surface images. …”
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

Dose estimates of 137Cs in bank voles inhabiting research sites within the Chornobyl Exclusion Zone considering the age-related dynamics of change in physiological parameters by I. P. Drozd, V. V. Pavlovskyi

“…Methods for dose estimation of 137Cs in mouse-like rodents, specifically bank voles (Myodes glareolus), commonly found within the research sites in the Chornobyl Exclusion Zone, are being proposed. …”
Get full text

Effects of Matching on Evaluation of Accuracy, Fairness, and Fairness Impossibility in AI-ML Systems by Phillip Honenberger, Omolade Ola, William Mapp, Pilhwa Lee

Get full text

Improved and Optimized GNSS-IR Sea Surface Height Retrieval Based on Noise Elimination and Lightweight Airborne Multi-GNSS Multi-UAV Fusion by Naiquan Zheng, Ying Xu, Fuxi Zhao, Mingzhen Xin, Fanlin Yang

“…It is urgent to carry out high-precision inversion research of GNSS-IR sea surface height on UAV telemetry platforms equipped with GNSS receivers and lightweight receiver antennas. …”
Get full text

Development of an MRI based artificial intelligence model for the identification of underlying atrial fibrillation after ischemic stroke: a multicenter proof-of-concept analysisRes... by Zijie Zhang, Yang Ding, Kaibin Lin, Wenli Ban, Luyue Ding, Yudong Sun, Chuanliang Fu, Yihang Ren, Can Han, Xue Zhang, Xiaoer Wei, Shundong Hu, Yuwu Zhao, Li Cao, Jun Wang, Saman Nazarian, Ying Cao, Lan Zheng, Min Zhang, Jianliang Fu, Jingbo Li, Xiang Han, Dahong Qian, Dong Huang

“…Dong Huang and the SJTU Trans-med Awards Research (No. 20220101) to Dahong Qian.…”
Get full text

The Cart-Pole Application as a Benchmark for Neuromorphic Computing by James S. Plank, Charles P. Rizzo, Chris A. White, Catherine D. Schuman

“…The cart-pole application is a well-known control application that is often used to illustrate reinforcement learning algorithms with conventional neural networks. An implementation of the application from OpenAI Gym is ubiquitous and popular. …”
Get full text

Generation of Julia Sets for a Novel Class of Generalized Rational Functions via Generalized Viscosity Iterative Method by Iqbal Ahmad, Ahmad Almutlg

“…This approach enhances existing algorithms, enabling the visualization of intricate fractal patterns as Julia sets. …”
Get full text

A bi-decision model for electric vehicle dispatch and battery swapping station charging schedule problem by Yong Su, Shishun Tian, Hao Wu, Xia Li

“…Lastly, a comprehensive comparison between the proposed ATS algorithm and the MOPSO algorithm is presented to show the effectiveness and competitiveness.…”
Get full text

A comprehensive review of spatial distribution modeling of plant species in mountainous environments: Implications for biodiversity conservation and climate change assessment

“…We describe different modeling algorithms, including presence-only and presence/absence modeling algorithms, machine-learning algorithms, distance-based algorithms, and regression-based algorithms. …”
Get full text

Food Sales Prediction Using MLP, RANSAC, and Bagging by Hussam Mezher Merdas, Ayad Hameed Mousa

“…Also, the way these features are correlated differs from one dataset to another. The researchers used several artificial intelligence algorithms and applied them to food sales datasets. …”
Get full text

A Fast and High-Accuracy Real-Time Visible Light Positioning System Based on Single LED Lamp With a Beacon by Huaping Li, Hongbin Huang, Yongze Xu, Zhanhang Wei, Sichen Yuan, Puxi Lin, Hao Wu, Wen Lei, Junbin Fang, Zhe Chen

Get full text

Location Problem - Routing a vehicle with a specified fuel capacity based on a tough time window and customer satisfaction by Mohammad Moshrefi

“…In this research, first, a mixed integer linear programming model is presented and then metaheuristic method based on Non-dominated Sorting Genetic Algorithm is proposed to find the optimal solution. …”
Get full text

Robust Improvement Strategy for Power Grid Hosting Capacity with Integration of High Proportion of Renewable Energy by Yangqing DAN, Lei WANG, Weimin ZHENG, Jiahui WU, Chenxuan WANG, Gaowang YU

Get full text