Combined multiple random features least mean square algorithm for online applications by Minglin Shen, Wei Feng, Gangyi Huang, Letian Qi, Yu Liu, Shiyuan Wang

“…However, the linear growth network structure is a main challenge of MKLMS. To address this issue, a novel multiple random features least mean square (MRFLMS) algorithm is proposed by approximating multiple Gaussian kernels with the multiple random features method. …”
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The Profit Rate-Interest Rate Nexus: Evidence from Machine Learning Algorithms by Mehmet Yeşilyaprak, Ali Polat, Önder Özgür, Süleyman Şahal

“…The main purpose of this study is to examine potential predictors of profit rates and de- posit rates and to examine whether these rates are affected by identical factors. …”
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Optimization of Semiautomated Calibration Algorithm of Multichannel Electrotactile Feedback for Myoelectric Hand Prosthesis by Milica Isaković, Jovana Malešević, Thierry Keller, Miloš Kostić, Matija Štrbac

“…The main drawback of the commercially available myoelectric hand prostheses is the absence of somatosensory feedback. …”
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Aerodynamic Shape Optimization of a Missile Using a Multiobjective Genetic Algorithm by Ahmet Şumnu, İbrahim Halil Güzelbey, Orkun Öğücü

“…Multiobjective Genetic Algorithm (MOGA) was used to optimize missile geometry. …”
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On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input by Michele Guagnano, Sara Groppo, Luigi Pugliese, Massimo Violante

“…In many applications, recognizing the depth of sleep (e.g., light, deep, REM sleep) while the subject is sleeping enables innovative features. …”
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Algorithms to Identify Copied and Manipulated Spectrum Occupancy Data in Cognitive Radio Networks by Joseph Tolley, Carl B. Dietrich

“…We recommend utilizing an exact match identification algorithm with Elasticsearch to search for exact copies of spectrum data. …”
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An AI-Based Horticultural Plant Fruit Visual Detection Algorithm for Apple Fruits by Bin Yan, Xiameng Li, Rongshan Yan

“…In order to improve the perception accuracy of the apple tree fruit recognition model and to reduce the model size, a lightweight apple target recognition method based on an improved YOLOv5s artificial intelligence algorithm was proposed, and relevant experiments were designed. …”
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Research on Point Cloud Registration and Stitching Fusion Algorithm Based on GCN-PRFNet by Wenhao Zeng, Gongbing Su, Zixuan Su, Rui Li, Jun Chen

“…., the accuracy of point cloud registration and stitching in robot navigation directly affects the accuracy of map construction. Many researchers have proposed various algorithms for deep learning-based point cloud registration and stitching methods with good performance, and although there are end-to-end methods that have made progress, they still have limitations in local feature fusion efficiency and geometric detail retention. …”
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YOLO-v4 Small Object Detection Algorithm Fused With L-α by ZHANG Ning, YU Ming, REN Honge, AO Rui, ZHAO Long

“… The detection ability for small object is still need to be improved urgently in spite of the rapidly developing object detection technology based on deep learning at present.Compared with large objects, small object detection tasks hold drawbacks of low resolution and feature loss which leads to that many general algorithms cannot be directly applied to small object detection.The feature pyramid fusion can effectively combine the features of deep and shallow layers to enhance the performance.To solve the problem most models existing ignoring the imbalance of information during the feature fusion between adjacent layers, it is proposed to integrate the idea of fusion factor into the PANet of YOLOv4, use the fusion factor L-αto control the amount of information transmitted from the deep layer to the shallow, so as to effectively improve the efficiency of information fusion and enhance the ability of YOLO-v4 for small objects detection.With the addition of L-αin YOLO- V4 model, the experiment results show that the APtiny50and APsmall50on the TinyPerson are improved by 2.14% and 1.85% respectively, while the AP and APS on the MS COCO are separately increased by 1.4% and 2.7%.It is proved that this improved method is effective for small object detection with the evidence of better result than other small object detection algorithms.…”
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Design and Control for Piezoelectric Energy Harvester Based on a Heuristic Optimization Algorithms by Habeeb Jaber Nekad, Diyah Kammel Shary, Oday Alahmad

“…The Proportional-Integrated-Derivative (PID) control is applied in this paper as a main controller. The parameters of the second controller will be optimized by using various heuristic algorithms. …”
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Optimization of Economic Space: Algorithms for Controlling Energy Storage in Low-Voltage Networks by Marcin Rabe, Tomasz Norek, Agnieszka Łopatka, Jarosław Korpysa, Veselin Draskovic, Andrzej Gawlik, Katarzyna Widera

“…This article presents and describes dedicated algorithms for controlling the EES system to enable the provision of individual system services. …”
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Utilizing the real estate investment trusts for portfolio optimisation by application of genetic algorithm by Li XU, Liviu Marian Matac, Juan Felipe Espinosa Cristia, Rui Dias, Codruta-Daniela Pavel

“…A diverse portfolio and favorable economic conditions are the main factors affecting investor returns. The research used the RIETS portfolio and genetic algorithm to improve investment portfolio Sharpe ratios. …”
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An Efficient Index Building Algorithm for Selection of Aggregator Nodes in Wireless Sensor Networks by Sun-Young Ihm, Aziz Nasridinov, Young-Ho Park

“…Thus, we propose an efficient index building algorithm for selection of aggregator nodes, called the Approximate Convex Hull Index (simply, aCH-Index). …”
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Comparative Performance Evaluation of Scheduling Algorithms using 5G‑Air‑Simulator by Moaath Saleh Abdulrahman, Buthaina Mosa Omran

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Optimization of multi-chamber mufflers with reverse-flow ducts by algorithm of simulated annealing by Ying-Chun CHANG, Min-Chie CHIU

“…Moreover, a simulated annealing (SA) algorithm, a robust scheme in searching for the global optimum by imitating the softening process of metal, has been used during the optimization process. …”
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Coverage Enhancement Algorithms for Distributed Mobile Sensors Deployment in Wireless Sensor Networks by Muhammad Sirajo Aliyu, Abdul Hanan Abdullah, Hassan Chizari, Thabit Sabbah, Ayman Altameem

“…The Edge Based Centroid (EBC) algorithm is presented to improve the area coverage with faster convergence rate in a distributed network. …”
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Generating the Flood Susceptibility Map for Istanbul with GIS-Based Machine Learning Algorithms by Zehra Koyuncu, Ömer Ekmekcioğlu

“…The main objective of the current study is to generate a flood hazard map by using the machine learning algorithms hybridized with the geographic information systems (GIS). …”
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3-D Packing in Container using Teaching Learning Based Optimization Algorithm by Linda Fitriyani, Larissa Alva Zerinda, Asri Bekti Pratiwi, Edi Winarko

“… The paper aims to propose Teaching Learning based Optimization (TLBO) algorithm to solve 3-D packing problem in containers. …”
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Small target detection in UAV view based on improved YOLOv8 algorithm by Xiaoli Zhang, Guocai Zuo

“…In order to solve these problems, a small target detection method based on the improved YOLOv8 algorithm for UAV viewpoint is proposed. The following improvements are made to the YOLOv8n model. …”
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Exploring unsupervised feature extraction algorithms: tackling high dimensionality in small datasets by Hongqi Niu, Gabrielle B. McCallum, Anne B. Chang, Khalid Khan, Sami Azam

“…Abstract Small datasets are common in many fields due to factors such as limited data collection opportunities or privacy concerns. …”
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