THE SPECIATION IN GENETIC ALGORITHMS FOR PRESERVING POPULATION DIVERSITY AND OPTIMIZATION OF FUNCTIONS WITH SUBOPTIMAL SOLUTIONS by V. Pretsel, Roman Shuvar

“…Background. Genetic algorithms are used in various tasks and show advantages compared to other optimization methods, which may not always be applicable. …”
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An Efficient Hybrid Meta-heuristic Algorithm for Solving Capacitated Vehicle Routing Problem by Emrullah Gazioğlu

“…Researchers made good algorithms for this problem, but these algorithms need too much computer power. …”
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Multi-Task Image Restoration Algorithm Under Different Weather Influence Factors by Lingwen Meng, Mingyong Xin, Junwei Zhang, Fu Zou, Qingqing Zhao

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Algorithm for investigating risk analysis and factors affecting suicidal attempts under uncertainty by RuiHua Liang, Ni Duan, XueJing Liu, Chuanqin Liu

“…Abstract Many people die from suicide, and it is a significant challenge in most societies, which calls for improved assessment procedures. …”
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The optimal route search in Bengaluru city transport using Hamilton circuit algorithm by Parkavi S, Parthiban A

“…The results of the simulation indicate that the reconfigured circular routes, optimized using the backtracking algorithm, led to a notable reduction in the traffic load on public transportation. …”
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User Recruitment Algorithm for Maximizing Quality under Limited Budget in Mobile Crowdsensing by Weijin Jiang, Pingping Chen, Wanqing Zhang, Yongxia Sun, Chen Junpeng, Qing Wen

“…Finally, this paper introduces the regret value to measure the efficiency of the user recruitment algorithm and conducts many experimental simulations based on real data sets to verify the feasibility and effectiveness of the algorithm. …”
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Integrating Artificial Intelligence and Computational Algorithms to Optimize the 15-Minute City Model by Marwa Abouhassan, Samah Elkhateeb, Raneem Anwar

“…We reveal how AI-driven algorithms, machine learning techniques, and advanced data analytics can enhance urban planning, improve accessibility, and foster social integration. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

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The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader by Ignatov S.D.

“…This paper presents an analysis of existing motor grader blade equipment designs, develops an engineering methodology optimization algorithm, and examines the main stages of its implementation, including modeling, iterative optimization procedures, and experimental validation. …”
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Comprehensive Analysis of Lightweight Cryptographic Algorithms for Battery-Limited Internet of Things Devices by Nahom Gebeyehu Zinabu, Yihenew Wondie Marye, Kula Kekeba Tune, Samuel Asferaw Demilew

“…As a result of their limited processing power efficiency, memory, and battery life, traditional cryptographic algorithms like elliptic curve cryptography (ECC), Rivest–Shamir–Adleman (RSA), and Advanced Encryption Standard (AES) are sometimes too resource-intensive for these devices. …”
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Calculation of the steady-state mode of the electric network using a genetic algorithm by V. I. Polischuk, V. A. Tkachenko, A. O. Shepelev

“…The paper presents the main elements of a genetic algorithm for calculating the steady-state mode of an electrical network, defines an optimized target function, and presents the calculation results in comparison with Newton method.Conclusion. …”
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Flight Performance Analysis of an Image Processing Algorithm for Integrated Sense-and-Avoid Systems by Lidia Forlenza, Giancarmine Fasano, Domenico Accardo, Antonio Moccia

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An improved YOLOv5n algorithm for detecting surface defects in industrial components by Jia-Hui Tian, Xue-Feng Feng, Feng Li, Qing-Long Xian, Zhen-Hong Jia, Jie-Liang Liu

“…To address these issues, this paper proposes an improved YOLOv5n algorithm for industrial surface defect detection. …”
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Proposed Approach to Increase the Reliability of Wireless Sensor Networks through Dijkstra’s Algorithm by Jasim Abd Hashim Yaqin, Talib Hasson Saad

“…Dijkstra’s algorithm is implemented to find the shortest paths between nodes, enhancing energy efficiency, network longevity, and data access speed at minimal cost. …”
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Evaluating and refining undersea cable path planning algorithms: A comparative study. by Tianjiao Wang, Zengfu Wang, Bill Moran, Xinyu Wang, Moshe Zukerman

“…To evaluate the performance of automated path-planning methods, we compare them based on two main criteria: (1) the total weighted cost which is a combined measure of various costs and risks of the cable path according to their weights, and (2) the algorithm's runtime. …”
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Recognition of Augmented Frontal Face Images Using FFT-PCA/SVD Algorithm by Francis Ayiah-Mensah, Louis Asiedu, Felix O. Mettle, Richard Minkah

“…It was found that the average recognition rates for the FFT-PCA/SVD algorithm were the same (90%) when face images with missingness and augmented face images were used as test images, respectively. …”
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Echo Chambers and Algorithmic Bias: The Homogenization of Online Culture in a Smart Society by Putri Salsa Della Guitara, Purnomo Eko Priyo, Khairunissa Tiara

“…This creates echo chambers, where users are isolated from diverse viewpoints. Algorithmic bias, stemming from the data used to train these algorithms, can further exacerbate this issue. …”
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A METHOD FOR MONITORING RICE SEED LOSS BASED ON WOA-BP ALGORITHM by Jin Chen, Ting Shi, Yaoming Li, Yahui Zhu, Caoyuan Niu

“…The loss rate monitoring device consisted of a piezoelectric ceramic sensor module, charge amplification circuit, band-pass filter circuit, analog-to-digital (AD) converter, main control unit, etc. The WOA-BP algorithm, which has a high accuracy and fast response speed, was used to classify and count the signals to realise seed loss rate monitoring. …”
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A Detection Method of Lentinus Edodes Based on Improved YOLOv4 Algorithm by HUANG Ying-lai, LI Da-ming, LU Xin, YANG Liu-song

“…In order to explore the picking of Lentinus edodes which are cultivated in bags, a recognition algorithm based on improved YOLOv4 is proposed.The main improvement measures are: in the structure of PANet (Path Aggregation Network), we add a feature map path with residual attention mechanism to improve the recognition accuracy of small targets, and replace the convolution layer in PANet network with deep separable convolution structure to reduce the amount of parameters.Focal loss is selected to improve the original confidence loss function.In the aspect of data preprocessing, gamma transform method is used to enhance and expand the data.In the training process, the idea of transfer learning is used to load the pre training weight of VOC data set on the backbone network.Compared with the original YOLOv4 algorithm, the mAP value is increased by 4.82 percentage points to 94.39%, and the amount of algorithm parameters is reduced by 58.13%.The algorithm is more efficient and lightweight, providing visual algorithm support for mechanical picking.…”
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Coverage Optimization Algorithm Based on Sampling for 3D Underwater Sensor Networks by Du Xiaoyu, Sun Lijuan, Liu Linfeng

“…We propose a coverage optimization algorithm based on sampling to enhance the coverage of 3D underwater sensor networks. …”
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