Weed Detection Algorithms in Rice Fields Based on Improved YOLOv10n by Yan Li, Zhonghui Guo, Yan Sun, Xiaoan Chen, Yingli Cao

“…Therefore, this paper presents an improved weed detection algorithm, YOLOv10n-FCDS (YOLOv10n with FasterNet, CGBlock, Dysample, and Structure of Lightweight Detection Head), using UAV images of <i>Sagittaria trifolia</i> in rice fields as the research object, to address challenges like the detection of small targets, obscured weeds and weeds similar to rice. …”
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Multivariate machine learning algorithms for energy demand forecasting and load behavior analysis by Farhan Hussain, M. Hasanuzzaman, Nasrudin Abd Rahim

“…The annual peak load demand in Khulna and Rajshahi is projected to account for 70 % of the total load in the Western region, reaching 11.5 GW and 10 GW, respectively, by 2050. …”
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Comparative Analysis of Optimization Algorithms to Enhance WPGSs Performance: Malaysia Case Study by Hussein Shutari, Taib Ibrahim, Nursyarizal Bin Mohd Nor, Hakim Abdulrab, Yahya Z. Alharthi, Mohammad Faridun Naim Tajuddin, Maveeya Baba

“…This paper investigates the implementation of five optimization algorithms:sine cosine algorithm (SCA), grey wolf optimizer (GWO), particle swarm optimizer (PSO), transient search optimization (TSO), and a hybrid sine cosine algorithm-transient search optimizer (HSCATSO), to optimally design control schemes (ODCSs) of frequency converters within grid-connected WPGS. …”
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Machine learning algorithms can predict emotional valence across ungulate vocalizations by Romain A. Lefèvre, Ciara C.R. Sypherd, Élodie F. Briefer

“…This approach is critical in the field of emotional communication, where more information is needed to reach a better understanding of the emotional origins of human language. …”
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Revalorization of Vinasse as a Farmland Improver Through Multi-Objective Genetic Algorithms: A Circular Economy Approach by Aarón Montiel-Rosales, Nayeli Montalvo-Romero, Gregorio Fernández-Lambert, Horacio Bautista-Santos, Yair Romero-Romero, Juan Manuel Carrión-Delgado

“…This study evaluated the potential of vinasse as a regenerator of agricultural soil through Multi-Objective Genetic Algorithms (MOGAs). This study focused on optimizing the amount of vinasse that should be applied, depending on its composition and the needs of the agricultural land. …”
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Efficient Dual Domain Decoding of Linear Block Codes Using Genetic Algorithms by Ahmed Azouaoui, Mostafa Belkasmi, Abderrazak Farchane

“…The results show that the proposed algorithm gives large gains over the Chase-2 decoding algorithm and reach the performance of the OSD-3 for some quadratic residue (QR) codes. …”
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Auto forensic detecting algorithms of malicious code fragment based on TensorFlow by Binglong LI, Jinlong TONG, Yu ZHANG, Yifeng SUN, Qingxian WANG, Chaowen CHANG

“…In order to auto detect the underlying malicious code fragments in complex，heterogeneous and massive evidence data about digital forensic investigation, a framework for malicious code fragment detecting algorithm based on TensorFlow was proposed by analyzing TensorFlow model and its characteristics.Back-propagation training algorithm was designed through the training progress of deep learning.The underlying binary feature pre-processing algorithm of malicious code fragment was discussed and proposed to address the problem about different devices and heterogeneous evidence sources from storage media and such as AFF forensic containers.An algorithm which used to generate data set about code fragments was designed and implemented.The experimental results show that the comprehensive evaluation index F₁of the method can reach 0.922, and compared with CloudStrike, Comodo, FireEye antivirus engines, the algorithm has obvious advantage in dealing with the underlying code fragment data from heterogeneous storage media.…”
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Integration of improved APF and RRT algorithms for enhanced path planning in mobile robotics by Yu Liangwu, Han Jianggui, Ma Boweng, Liu Bao, He Zhiying

“…Simulation experiments had shown that the fusion algorithm had significant advantages in path length and runtime.…”
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Automated identification of sedimentary structures in core images using object detection algorithms. by Ammar J Abdlmutalib, Korhan Ayranci, Umair Bin Waheed, Hamad D Alhajri, James A MacEachern, Mohammed N Al-Khabbaz

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Leveraging ECG images for predicting ejection fraction using machine learning algorithms by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan

“…The use of images expands the reach of these algorithms to geographies with resource and technological limitations.…”
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Characterization of microbiota signatures in Iberian pig strains using machine learning algorithms by Lamiae Azouggagh, Noelia Ibáñez-Escriche, Marina Martínez-Álvaro, Luis Varona, Joaquim Casellas, Sara Negro, Cristina Casto-Rebollo

“…The classification of the two Iberian strains reached the highest mean AUROC of 0.83 using Support Vector Machine (SVM) model. …”
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A Hybrid Particle Swarm Optimization Algorithm for the Economic Dispatch Problem by Dinu Secui

“…This article proposes a hybrid global-local algorithm - Hybrid Particle Swarm Optimization (HPSO) - applied to solve the Economic Dispatch (ED) problem. …”
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Optimizing diabetes prediction with MLP neural networks and feature selection algorithm by Majd Mohammad A. Al-Hawamdeh

“… In this research, the goal was to improve diabetes prediction by combining Multilayer Perceptron Neural Network (MLPNN) with Memetic Algorithm (MA) and Arithmetic Optimization Algorithm (AOA). …”
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An improved termite life cycle optimizer algorithm for global function optimization by Yanjiao Wang, Mengjiao Wei

“…This strategy would prevent the original worker generation strategy from effectively balancing algorithm convergence and population diversity to reduce the risk of the algorithm in reaching a local optimum. …”
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A Cluster-Based Consensus Algorithm in a Wireless Sensor Network by Yanwei Li, Zhenyu Zhou, Takuro Sato

“…With different DOI values, our ACDC gossip algorithm can still reach lower relative error compared with other gossip algorithms, which demonstrates that our algorithm is robust enough to be executed in the network.…”
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Research on floating object classification algorithm based on convolutional neural network by Jikai Yang, Zihan Li, Ziyan Gu, Wei Li

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Gaslike Social Motility: Optimization Algorithm with Application in Image Thresholding Segmentation by Oscar D. Sanchez, Luz M. Reyes, Arturo Valdivia-González, Alma Y. Alanis, Eduardo Rangel-Heras

“…This work introduces a novel and practical metaheuristic algorithm, the Gaslike Social Motility (GSM) algorithm, designed for optimization and image thresholding segmentation. …”
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Algorithmic support of the adaptive system of controlled flight into terrain avoidance (CFITA) by A. N. Akimov, V. A. Voloshin, A. A. Supryga

“…The article considers the restrictions algorithms for the trajectory parameters of aircraft motion. …”
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Development and Validation of an Ultrasound Imaging Algorithm for Structured Reporting in Testicular Pathology by Roxana Pintican, Alexandru Negrea, Isabell Boll, Bianca Boca, Diana Gherman, Marilena Bora, Sorin Dudea, Anca Ciurea

“…Notably, strong inter-rater agreement was observed, underscoring the algorithm’s reliability across different expertise levels. …”
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Improve the Hunger Games search algorithm to optimize the GoogleNet model. by Yanqiu Li, Shizheng Qu, Huan Liu

“…Experimental results show that the proposed algorithm ATHGS shows the best optimization performance in the three engineering experimental designs, and the accuracy of the proposed model ATHGS-GoogleNet reaches 98.1%, the sensitivity reaches 100%, and the precision reaches 99.5%.…”
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