CTDA: an accurate and efficient cherry tomato detection algorithm in complex environments by Zhi Liang, Caihong Zhang, Zhonglong Lin, Guoqiang Wang, Xiaojuan Li, Xiangjun Zou

“…Its detection accuracy reaches 94.3%, with recall and average precision of 91.5% and 95.3%, respectively, while achieving a mAP@0.5:0.95 of 76.5% and an FPS of 154.1 frames per second. …”
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Endpoint Distribution Modeling-Based Capture Algorithm for Interfering Multi-Target by Xiangliang Zhang, Junlin Li, Pengjie Li, Fang Si, Xiangzhi Liu, Yu Gu, Shuguang Meng, Jibin Yin, Tao Liu

“…At target distances of 200 cm and 300 cm, the accuracy without any algorithm is 60.54% and 42.39%, respectively. Using the BRPA algorithm, the accuracy is 72.94% and 68.57%, while, with the ERPA algorithm, the accuracy reaches 84.11% and 82.74%, respectively. …”
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An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer by Jingxun Cai, Zne-Jung Lee, Zhihxian Lin, Chih-Hung Hsu, Yun Lin

“…Its subtle early symptoms make subsequent diagnosis difficult, significantly delaying timely treatment for patients. Once ovarian cancer reaches an advanced stage, the complexity and difficulty of treatment increase substantially, affecting patient survival rates. …”
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An Efficient Intersection Over Union Algorithm for 3D Object Detection by Sazan Ali Kamal Mohammed, Mohd Zulhakimi Ab Razak, Abdul Hadi Abd Rahman, Maria Abu Bakar

“…Therefore, in this study, we first analyze the existing IoU loss functions in order to propose an efficient intersection over union (EIoU) algorithm. The proposed EIoU is capable of providing the gradient value even though the bounded predicted box and the ground truth target box do not overlap. …”
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Quantifying the Impact of Environmental Factors on the Methane Point-Source Emission Algorithm by Zixuan Wang, Linxin Wang, Ding Li, Lingjing Yang, Lixue Cao, Qin He, Kai Qin

“…The results offer critical insights for refining CH₄ detection algorithms and enhancing the precision of satellite-based inversions for low-concentration CH₄ point-source emissions.…”
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Low error floor LT coding algorithm for unequal error protection by Xin SONG, Shuyan NI, Zhe ZHANG, Yurong LIAO, Tuofeng LEI

“…As the first achievable rateless code,the rateless LT code can be conveniently used in conjunction with the UEP algorithm to realize adaptive data transmission.However,the conventional UEP-LT code algorithm has problems such as high error floor and poor convergence performance in the additive white Gaussian noise(AWGN)channel.Therefore,an improved systematic UEP-LT coding scheme is designed in this paper. …”
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A County-Level Analysis of the Economic Performance in Romania and Bulgaria Using Hierarchical Algorithms by Alexandra-Nicoleta Ciucu (Durnoi), Camelia Delcea, Kosyo Stoychev

“…As it measures the performance of NUTS-2 regions, it was desired to study the problem in more detail, reaching the NUTS-3 level. Thus, within the current research, Romania and Bulgaria are studied by means of a county-level analysis of the economies of the two states established through the prism of the labor market, the field of health, transport, enterprises, tourism, education, and research. …”
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Mitosis detection in histopathological images using customized deep learning and hybrid optimization algorithms. by Afnan M Alhassan, Nouf I Altmami

“…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
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Literature Review: A Comparative Study of Waste Classification using Deep Learning Algorithms by Ariza Ikhlas, Billy Hendrik

“…The results of the literature review show that the Convolutional Neural Network (CNN) algorithm is widely used and considered highly effective for computer vision tasks. …”
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Bridge Deformation Monitoring Combining 3D Laser Scanning with Multi-Scale Algorithms by Dongmei Tan, Wenjie Li, Yu Tao, Baifeng Ji

“…To address the inefficiencies and limited spatial resolution of traditional single-point monitoring techniques, this study proposes a multi-scale analysis method that integrates the Multi-Scale Model-to-Model Cloud Comparison (M3C2) algorithm with least-squares plane fitting. This approach employs the M3C2 algorithm for qualitative full-field deformation detection and utilizes least-squares plane fitting for quantitative feature extraction. …”
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Predictive modeling of electrochromic performance in ammonium metatungstate solutions using machine learning algorithms by Bocheng Jiang, Honglong Ning, Muyun Li, Rihui Yao, Chenxiao Guo, Yucheng Huang, Zijie Guo, Dongxiang Luo, Dong Yuan, Junbiao Peng

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Effective Facial Expression Recognition System Using Artificial Intelligence Technique by Imad S. Yousif, Tarik A. Rashid, Ahmed S. Shamsaldin, Sabat A. Abdulhameed, Abdulhady Abas Abdullah

“…This paper presents an improved performance of the Facial Expression Recognition (FER) systems via augmentation in Artificial Neural Networks and Genetic Algorithms, two renowned artificial intelligence techniques possessing disparate strengths. …”
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Automatic PET-CT Image Registration Method Based on Mutual Information and Genetic Algorithms by Martina Marinelli, Vincenzo Positano, Francesco Tucci, Danilo Neglia, Luigi Landini

“…The proposed automatic registration algorithm smoothes the pattern of the MI and allows it to reach the global maximum of the similarity function. …”
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Comparative Analysis of Oversampling and SMOTEENN Techniques in Machine Learning Algorithms for Breast Cancer Prediction by Tri Yulian, Erliyan Redy Susanto

“…Random Forest with oversampling reached an accuracy of 96.63%, while with SMOTEENN it achieved 95.90%. …”
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Comparison of Single Exponential Smoothing and Double Moving Average Algorithms to Forecast Beef Production by Tundo, Rachmat Hidayat Insani, Rasiban, Untung Suropati

“…After analyzing using MAPE, it is found that the algorithm with the smallest error value is the Single Exponential Smoothing algorithm with a percentage in the monthly period of 16% while for the annual period, it is 27% compared to other algorithms. …”
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An approach based on genetic algorithms and neural networks for QoS-aware IoT services composition by Rabah Boucetti, Ouassila Hioual, Sofiane Mounine Hemam

“…This latter is based on global QoS optimization. To reach this objective, the QoS intervals are decomposed into M QoS-levels to engage them into the theoretical composition. …”
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Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms by Yavuz Selim Ogur, Ayse Erdogan Kaya, Nur Banu Ogur, Beyza Erdogan Akturk

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Estimation of soil free Iron content using spectral reflectance and machine learning algorithms by Wanzhu Ma, Hongkui Zhou, Hao Hu, Zhiqing Zhuo, Kangying Zhu, Guangzhi Zhang

“…We used machine learning algorithms, such as partial least squares (PLS), support vector machine (SVM), random forest (RF), and deep neural network (DNN) algorithms for model construction. …”
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Implementation of CNN Algorithm for Indonesian Hoax News Detection on Online News Portals by Clifansi Remi Siwi Hati, Heni Sulistiani

“…The purpose of this research is to apply deep learning with the Convolutional Neural Network (CNN) algorithm in detecting text-based hoax news in Indonesian. …”
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Some applications of the artificial intelligence in the field of forensic investigation by Adrian Cristian MOISE

“…Artificial intelligence uses effective algorithms in detecting risks in committing crimes and preventing illegal acts. …”
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