FOA-BDNet: A behavior detection algorithm for elevator maintenance personnel based on first-order deep network architecture by Zengming Feng, Tingwen Cao

“…This paper proposes an elevator maintenance personnel behavior detection algorithm based on the first-order deep network architecture (FOA-BDNet). …”
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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

“…The experimental results demonstrate that the Re-LSTM model outperforms baselines in terms of precision, recall, accuracy, and F1 values, all of which reach above 85% when applied to the QQPC and ATEC datasets.…”
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Adaptive encryption method of sensitive data in data center database based on big data cross-mapping fusion algorithm by Dingwen Zhang, Shuang Yang, Ming Chen, Lei Zheng, Jiashu Fan, Aidi Dong

“…The process is optimized by employing the cross validation (CV) method to enhance the efficacy of sensitive data fusion.The improved AES algorithm is used to establish the optimal affine transformation for generating a novel S-box, and is integrated with the squared residual algorithm to implement the key extension of the AES algorithm. …”
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Random forest algorithm identifies miRNA signatures for breast cancer detection and classification from patient urine samples by Jochen Maurer, Matthias Rübner, Chao-Chung Kuo, Birgit Klein, Julia Franzen, Julia Wittenborn, Tomas Kupec, Laila Najjari, Peter Fasching, Elmar Stickeler

“…Results and conclusion: Using a random forest algorithm, we identified a signature of 275 miRNAs that allows the detection of invasive breast cancer in urine. …”
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A lightweight trichosanthes kirilowii maxim detection algorithm in complex mountain environments based on improved YOLOv7-tiny. by Zhongjian Xie, Xinwei Chen, Weilin Wu, Yao Xiao, Yuanhang Li, Yaya Zhang, ZhuXuan Wan, Weiqi Chen

“…The experimental results showed that the mean average precision of the improved network KPD-YOLOv7-GD reached 93.2%. Benchmarked against mainstream single-stage algorithms (YOLOv3-tiny, YOLOv5s, YOLOv6s, YOLOv7-tiny, and YOLOv8), KPD-YOLOv7-GD demonstrated mean average precision improvements of 4.8%, 0.6%, 3.0%, 0.6%, and 0.2% with corresponding model compression rates of 81.6%, 68.8%, 88.9%, 63.4%, and 27.4%, respectively. …”
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Intelligent long jump evaluation system integrating blazepose human pose assessment algorithm in higher education sports teaching by Tao Wang

“…Finally, an intelligent long jump evaluation system incorporating the BlazePose human pose assessment algorithm is established. The research findings demonstrate that the average accuracy of video at 120FPS reaches a maximum of 94.47%. …”
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Design and application of human-computer interaction visual communication platform for Guandong culture by integrating RF and light GBM algorithm by Qiao Wu, Ying Jin

“…Among them, the random forest algorithm was improved by incorporating word embedding technology to facilitate the acquisition of semantic similarity. …”
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Distribution Network Reconfiguration Using Selective Firefly Algorithm and a Load Flow Analysis Criterion for Reducing the Search Space by Cassio Gerez, Lindenberg I. Silva, Edmarcio A. Belati, Alfeu J. Sguarezi Filho, Eduardo C. M. Costa

“…The algorithm is applied to the DNR, and all its implementation and adequacy to the problem studied are presented. …”
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Multivariate-coupled-enhanced photoacoustic spectroscopy with Chebyshev rational fractional-order filtering algorithm for trace CH4 detection by Shenlong Zha, Hang Chen, Chen Liu, Yuxiang Guo, Hongliang Ma, Qilei Zhang, Lingli Li, Shengbao Zhan, Gang Cheng, Yanan Cao, Pan Pan

“…To further improve the measurement precision of the designed sensor, the Chebyshev rational fractional-order filtering (CRFOF) algorithm was introduced for PAS signal processing for the first time. …”
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Integrated neural network and evolutionary algorithm approach for liver fibrosis staging: Can artificial intelligence reduce patient costs? by Ali Nazarizadeh, Touraj Banirostam, Taraneh Biglari, Mohammadreza Kalantarhormozi, Fatemeh Chichagi, Amir H Behnoush, Mohammad A Habibi, Ramin Shahidi

“…Results We propose a novel algorithm that reduces the number of required patient features to seven inputs. …”
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Fault-Tolerant Control of the Electro-Mechanical Compound Transmission System of Tracked Vehicles Based on the Anti-Windup PID Algorithm by Qingkun Xing, Ziao Zhang, Xueliang Li, Datong Qin, Zengxiong Peng

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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…Moreover, existing object detection algorithms have a large number of parameters, posing a challenge for deployment on drones with limited hardware resources. …”
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Development of an artificial intelligence-based algorithm to classify images acquired with an intraoral scanner of individual molar teeth into three categories. by Nozomi Eto, Junichi Yamazoe, Akiko Tsuji, Naohisa Wada, Noriaki Ikeda

“…Furthermore, the accuracy of the algorithm reached about 95%. This algorithm was constructed as a first step toward the development of an automated system that generates dental charts from images acquired by an intraoral scanner. …”
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autoRA: An Algorithm to Automatically Delineate Reference Areas—A Case Study to Map Soil Classes in Bahia, Brazil by Hugo Rodrigues, Marcos Bacis Ceddia, Gustavo Mattos Vasques, Sabine Grunwald, Ebrahim Babaeian, André Luis Oliveira Villela

“…In contrast, larger coverages significantly improved performance: 30% yielded an accuracy of 0.85, while 40% and 50% reached 0.96. Notably, 40% struck the best balance between high accuracy (kappa = 0.65) and minimal redundancy, outperforming RA manual delineation (accuracy = 0.75) and closely matching the best TA outcomes. …”
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The Concept of Determining a Ship’s Route Based on the Capability Plot and Dijkstra’s Algorithm—Finding the Ship’s Route Between Anchorages by Jakub Wnorowski, Andrzej Łebkowski

“…Before the computer age, routes were plotted manually by seafarers based on maps. Nowadays, algorithms are used for this purpose, which make it possible to reach any port in the world. …”
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Innovative estimation of PEMFC operating parameters using a novel bio-inspired metaheuristic nonlinear gazelle optimization algorithm by Salem Saidi, Rabeh Abbassi, Houssem Eddine Khélifi, Abdelkader Abbassi, Ayyaz Ahmad, Seyedali Mirjalili

“…This study introduces and implements a novel approach based on artificial intelligence (AI), specifically the Nonlinear Gazelle Optimization Algorithm (NGOA), for the parameter estimation of the PEMFCs model. …”
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Accurate 3D LiDAR SLAM System Based on Hash Multi-Scale Map and Bidirectional Matching Algorithm by Tingchen Ma, Lingxin Kong, Yongsheng Ou, Sheng Xu

“…The computational efficiency and accuracy of the MSBM algorithm are better than that of the small-scale priority matching algorithm, and the computing speed of the MSBM achieves 49 ms/time under a single CPU thread. …”
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Optimasi Weight AHP Menggunakan Genetic Algorithm untuk Rekomendasi Platform Media Sosial Sebagai Sarana Promosi Digital by Risqy Siwi Pradini, Mochammad Anshori, M. Syauqi Haris

“…Abstract A company's marketing team can use social media to expand marketing reach and interact more intensely with customers. …”
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Exploring Multi-Pathology Brain Segmentation: From Volume-Based to Component-Based Deep Learning Analysis by Ioannis Stathopoulos, Roman Stoklasa, Maria Anthi Kouri, Georgios Velonakis, Efstratios Karavasilis, Efstathios Efstathopoulos, Luigi Serio

“…Detection and segmentation of brain abnormalities using Magnetic Resonance Imaging (MRI) is an important task that, nowadays, the role of AI algorithms as supporting tools is well established both at the research and clinical-production level. …”
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Comparative Evaluation of Reinforcement Learning Algorithms for Multi-Agent Unmanned Aerial Vehicle Path Planning in 2D and 3D Environments by Mirza Aqib Ali, Adnan Maqsood, Usama Athar, Hasan Raza Khanzada

“…Our findings reveal significant performance differences between the algorithms across multiple dimensions. DDPG consistently demonstrated superior reward optimization and collision avoidance performance, while PPO and MADDPG excelled in the execution time required to reach the goal. …”
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