Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people by Mahir Mohammed Sharif Adam, Hussah Nasser AlEisa, Samah Al Zanin, Radwa Marzouk

“…Abstract A significant challenge for many visually impaired people is they cannot be entirely independent and are restricted by their vision. …”
Get full text

THE PERSPECTIVES OF HEURISTIC OPTIMIZATION METHODS EMPLOYMENT IN A DEVELOPMENT OF RADIO AND TELECOMMUNICATION DEVICES AND SYSTEMS by A. V. Smirnov

“…In this paper, we consider some examples of metaheuristics applications: approximation of the filter transfer functions with simultaneous optimization of amplitude and phase characteristics, optimization of the APSK signal constellations, optimal forming of the OFDM radar pulses, beamforming in the millimeter wave MIMO communication systems. These and many other examples show the preferences of heuristic algorithms: adaptability to the variations of parameter space dimension and objectives, capacity for solving of suboptimal solutions in a relatively short time, capability to solve the multiobjective optimization problems with simultaneous location of a set of Paretooptimal solutions. …”
Get full text

Automation in electrifying flow organic synthesis by Tomas Hardwick, Nisar Ahmed

Get full text

Computational methods for automatic traffic signs recognition in autonomous driving on road: A systematic review by Hui Chen, Mohammed A.H. Ali, Yusoff Nukman, Bushroa Abd Razak, Sherzod Turaev, YiHan Chen, Shikai Zhang, Zhiwei Huang, Zhenya Wang, Rawad Abdulghafor

“…Researchers have proposed numerous algorithms to address these challenges. The traffic recognition methods have been categorized in this paper into three main techniques, namely, conventional, deep learning, and hybrid based methods. …”
Get full text

Comparison of diagnostic algorithms in clinically suspected viral myocarditis: Agreement between cardiovascular magnetic resonance, endomyocardial biopsy, and troponin T by Hafisyatul Zainal, Andreas Rolf, Hui Zhou, Moises Vasquez, Felicitas Escher, Till Keller, Mariuca Vasa-Nicotera, Andreas M. Zeiher, Heinz-Peter Schultheiss, Eike Nagel, Valentina O. Puntmann

Get full text

Re-LSTM: A long short-term memory network text similarity algorithm based on weighted word embedding by Weidong Zhao, Xiaotong Liu, Jun Jing, Rongchang Xi

“…This approach is the foundation of many applications. The word representation features and contextual relationships extracted by current text similarity computation methods are insufficient, and too many factors increase the computational complexity. …”
Get full text

Lattice-Hopping: A Novel Map-Representation-Based Path Planning Algorithm for a High-Density Storage System by Shuhan Zhang, Yaqing Song, Ziyu Chen, Guo Chen, Yongxin Cao, Zhe Gao, Xiaonong Xu

“…Then, the LH algorithm is proposed to find optimal shipping path by leveraging the global connectivity of main tracks (main track priority) and the ‘jumping’ mechanism of sub-tracks. …”
Get full text

Shell and tube heat exchanger optimization: A critical literature assessment and fairness-based comparative performance analysis of meta-heuristic algorithms by Samet Gürgen

“…This design problem has been addressed by many researchers with different optimization algorithms. …”
Get full text

Innovative resource-saving security strategies for IoT devices by Inna Rozlomii, Andrii Yarmilko, Serhii Naumenko

“…The primary focus is developing and analysing lightweight cryptographic algorithms capable of providing robust data protection with minimal resource usage. …”
Get full text

A Variable Selection Method Based on Fast Nondominated Sorting Genetic Algorithm for Qualitative Discrimination of Near Infrared Spectroscopy by Hubin Liu, Na Liu, Yuhui Yuan, Cihai Zhang, Longlian Zhao, Junhui Li

“…The goal of feature selection is to associate the selected variables with the property of interest, which many have done successfully. However, many of selection methods focus only on strong association with the analytes or properties of interest, neglecting correlations between variables. …”
Get full text

Overview of fuzzy vehicle routing problems by Yu. O. Chernyshev, V. N. Kubil, A. V. Trebukhin

“…Introduction. Various algorithms for solving fuzzy vehicle routing problems are considered. …”
Get full text

Airway management algorithm during circular tracheal resection in adult patients with cicatricial stenosis (a single-center study) by A. V. Kozhanova, Т. N. Khlan, О. V. Strunin, А. А. Pechetov, К. V. Lukich, A. S. Ibragimov, Yu. G. Starkov

“…The objective was to present the experience of airway management algorithm in patients with different localization of stenosis during circular tracheal resection.Materials and methods. …”
Get full text

An efficient hybrid algorithm based on particle swarm optimisation and teaching‐learning‐based optimisation for parameter estimation of photovoltaic models by Dianlang Wang, Zhongrui Qiu, Qi Yin, Haifeng Wang, Jing Chen, Chengbi Zeng

“…Abstract In recent years, many meta‐heuristic algorithms have been investigated to estimate the parameters of photovoltaic (PV) models. …”
Get full text

Multi objective optimization of FDM 3D printing parameters set via design of experiments and machine learning algorithms by Antonio Panico, Alberto Corvi, Luca Collini, Corrado Sciancalepore

“…Eventually, a Genetic Algorithm (NSGA-II) is integrated to estimate the optimal parameter set for multiple responses. …”
Get full text

Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm by Tingchen Ma, Lingxin Kong, Yongsheng Ou, Sheng Xu

“…Secondly, considering the one-to-many (1 <inline-formula><math display="inline"><semantics><mrow><mo>×</mo><mspace width="3.33333pt"></mspace><msup><mn>10</mn><mn>3</mn></msup></mrow></semantics></math></inline-formula> order of magnitude) high computational data association problem caused by maintaining multi-scale voxel landmarks simultaneously in the H-MS map, we further propose a bidirectional matching algorithm (MSBM). …”
Get full text

Vortex-Induced Vibration Performance Prediction of Double-Deck Steel Truss Bridge Based on Improved Machine Learning Algorithm by Yang Yang, Huiwen Hou, Gang Yao, Bo Wu

“…The most improved algorithm yields an RMSE of 0.150 and an R² of 0.9898. …”
Get full text

Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement by Cynthia Freeman, Ian Beaver, Abdullah Mueen

“…We present a technique for improving univariate time series anomaly detection through automatic algorithm selection and human-in-the-loop false-positive removement. …”
Get full text

Advancing Real-Time Food Inspection: An Improved YOLOv10-Based Lightweight Algorithm for Detecting Tilapia Fillet Residues by Zihao Su, Shuqi Tang, Nan Zhong

“…The model demonstrates the best overall performance among many mainstream detection algorithms with a small model size (3.3 MB), a high frame rate (77FPS), and an excellent <i>mAP</i> (0.942). …”
Get full text

A Crow Search Algorithm integrated with Lévy flight and dynamic awareness probability for optimized numerical control machining parameters by Bing Tian

“…Abstract This paper proposes an efficient method for optimizing machining variables with numerical control (NC) achieved through an Enhanced Crow Search Algorithm (ECSA). In contemporary manufacturing, which relies on numerically controlled machining, the efficiency and accuracy of many processes, such as milling, drilling, and turning, heavily depend on the optimum settings for parameters. …”
Get full text

An Algorithm for Estimating the Signal Frequency at the Output of a Channel with a Controlled Information Flow under Phase Noise Conditions by Leonid Nikolaevich Kazakov, Evgenii Pavlovich Kubyshkin, Ilya Victorovich Lukyanov

“…Research in the field of efficient frequency estimation algorithms is of great interest. The reason for this is the redistribution of the role of additive and phase noise in many modern radio-engineering applications. …”
Get full text