Detection of dental caries under fixed dental prostheses by analyzing digital panoramic radiographs with artificial intelligence algorithms based on deep learning methods by Betül Ayhan, Enes Ayan, Saadet Atsü

“…Caries under the FDPs were detected using both the YOLOv7 and the improved YOLOv7 (YOLOv7 + CBAM) models. …”
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Evaluation of classification algorithms in the Google Earth Engine platform for the identification and change detection of rural and periurban buildings from very high-resolution i... by Alejandro Coca-Castro, Maycol A. Zaraza-Aguilera, Yilsey T. Benavides-Miranda, Yeimy M. Montilla-Montilla, Heidy B. Posada-Fandiño, Angie L. Avendaño-Gomez, Hernando A. Hernández-Hamon, Sonia C. Garzón-Martinez, Carlos A. Franco-Prieto

“…Three evaluation zones per study area were proposed to quantify the performance of the algorithms through the Intersection over Union (IoU) metric. …”
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Predicting cardiovascular outcomes in Chinese patients with type 2 diabetes by combining risk factor trajectories and machine learning algorithm: a cohort study by Qi Huang, Xiantong Zou, Zhouhui Lian, Xianghai Zhou, Xueyao Han, Yingying Luo, Shuohua Chen, Yanxiu Wang, Shouling Wu, Linong Ji

“…Stratification by the ML-CVD-C score showed substantial improvement, with NRI gains of 57.7%, 44.1%, and 47.3%, and IDI gains of 10.1%, 7.9%, and 8.4% compared to the other three scores. Both the trajectory and machine learning algorithm contributed significantly to the enhancement of model performance. …”
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Monitoring and Assessment of Slope Hazards Susceptibility Around Sarez Lake in the Pamir by Integrating Small Baseline Subset InSAR with an Improved SVM Algorithm by Yang Yu, Changming Zhu, Majid Gulayozov, Junli Li, Bingqian Chen, Qian Shen, Hao Zhou, Wen Xiao, Jafar Niyazov, Aminjon Gulakhmadov

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Random forest algorithm integrated with an initial basic feasible solution in buckling analysis of a two-dimensional functionally graded porous taper beam by Ravikiran Chinthalapudi, Jagadesh Kumar Jatavallabhula, Geetha Narayanan Kannaiyan, Bridjesh Pappula, Seshibe Makgato

“…To overcome these limitations, a hybrid analytical computational methodology is proposed that integrates the novel Initial Basic Feasible Solution approach with the Random Forest algorithm. The beam is modelled using hyperbolic shear deformation theory to account for transverse shear effects, while material properties vary along both the length and thickness following a power-law distribution. …”
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Inversion of citrus SPAD value and leaf water content by combining feature selection and ensemble learning algorithm using UAV remote sensing images by Quanshan Liu, Fei Chen, Ningbo Cui, Zongjun Wu, Xiuliang Jin, Shidan Zhu, Shouzheng Jiang, Daozhi Gong, Shunsheng Zheng, Lu Zhao, Zhihui Wang

“…Compared to the SVR, Ada and SVR-Ada, the WOA-SVR-Ada model, constructed by combining the DT algorithm with VI+TF as inputs (WOA-SVR-AdaD3), exhibited the highest estimation accuracy for both SPAD value and LWC. …”
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Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

“…An identifiable issue arises with significant underestimations in the retrieved CBH by both ML-based algorithms, leading to an inability to capture the diurnal cycle characteristics of CBH. …”
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Optimized Type-2 Fuzzy Logic Control for Low-Speed Vehicle Pedal Pressing Automation Using Hybrid Spiral Sine Cosine Algorithm by Azrul Azim Abdullah Hashim, Nor Maniha Abdul Ghani, Salmiah Ahmad, Mohd Ruzaini Hashim, Noor Zirwatul Ahlam Naharuddin, Addie Irawan

“…The research investigates two FLC approaches: the standard Type 1 FLC and the advanced Type 2 FLC, both optimized using the Hybrid Spiral Sine Cosine Algorithm (SSCA). …”
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Mechanism-learning prediction model for pitting depth of buried pipeline based on HMOGWO-RF by Fulin SONG, Hong ZHAO, Xingyuan MIAO

“…By leveraging the combination of the three-objective HMOGWO algorithm and the RF model, it significantly outperformed the three-objective MOGWO algorithm, the two-objective HMOGWO algorithm, the two-objective MOGWO algorithm, as well as both the single-objective GWO algorithm and the single-objective PSO algorithm in terms of prediction performance and stability. …”
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Indices formal grammar of the Universal Decimal Classification by V. N. Beloozerov, A. V. Shapkin

“…The proposed algorithm is applicable both to visualize the meaning of complex class numbers, and to ensure the completeness and accuracy of the documents retrieval by the UDC classes.…”
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Research on Energy-Saving Optimization Control Strategy for Distributed Hub Motor-Driven Vehicles by Bin Huang, Jinyu Wei, Minrui Ma, Xu Yang

“…Aiming at the problems of energy utilization efficiency and braking stability in electric vehicles, a high-efficiency and energy-saving control strategy that takes both driving and braking into account is proposed with the distributed hub motor-driven vehicle as the research object. …”
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Model of Automatic Classification and Localization of Images by L. V. Serebryanaya, K. Y. Bochkarev, A. Y. Popitich

“…Analysis of models, methods and algorithms has shown that for solving the set task it is preferable to use machine learning, an artificial neural network and a genetic algorithm. …”
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action-rules: GPU-accelerated Python package for counterfactual explanations and recommendations by Lukáš Sýkora, Tomáš Kliegr

“…The action-rules package provides an efficient method for mining action rules using the Action-Apriori algorithm, a modification of the traditional Apriori algorithm tailored specifically for action rule mining. …”
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MVTC-Sec: Lightweight Timestamp Correlation for Securing RPL Against DIO Replay Attacks by Tahar Guerbouz, Akram Zine Eddine Boukhamla, Djalila Belkebir, Sahraoui Dhelim

“…Such attacks destabilize the network topology, reduce the packet delivery ratio (PDR), and increase both latency and energy consumption. To address these issues, this paper proposes MVTC-Sec, a Mathematically Validated Timestamp Correlation method that detects replay-based DIO attacks by analyzing deviations from the expected Trickle algorithm timing. …”
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Retrieval of Leaf Area Index for Wheat and Oilseed Rape Based on Modified Water Cloud Model and SAR Data by Xiyue Yang, Wangfei Zhang, Armando Marino, Han Zhao, Wei Kang, Zhengyong Xu

“…The proposed MWCM parameters were calibrated using an iterative optimization algorithm named the Levenberg–Marquardt (LM) algorithm. …”
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Research of fast decoding for longer constraint length convolutional codes by HUANG Xiao-ling, YANG Hua-long

“…To overcome the disadvantage of Viterbi decoding algorithm, in which its complexity exponentially increases with the increasing constraint length of convolutional codes, and the decoding delay was too large to fit the decoding of longer constraint length convolutional codes, a fast decoding of convolutional codes for longer constraint length, based on improved particle swarm optimization algorithm, was proposed. …”
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Research of fast decoding for longer constraint length convolutional codes by HUANG Xiao-ling, YANG Hua-long

“…To overcome the disadvantage of Viterbi decoding algorithm, in which its complexity exponentially increases with the increasing constraint length of convolutional codes, and the decoding delay was too large to fit the decoding of longer constraint length convolutional codes, a fast decoding of convolutional codes for longer constraint length, based on improved particle swarm optimization algorithm, was proposed. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…The algorithm’s optimization bolstered its scalability, making it more adaptable to future data expansions and complex knowledge integrations. …”
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Shallow-Depth Quantum Circuit for Unstructured Database Search by Junpeng Zhan

“…Grover’s search algorithm (GSA) offers quadratic speedup in searching unstructured databases but suffers from exponential circuit depth complexity. …”
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Lightweight malicious domain name detection model based on separable convolution by Luhui YANG, Huiwen BAI, Guangjie LIU, Yuewei DAI

“…The application of artificial intelligence in the detection of malicious domain names needs to consider both accuracy and calculation speed,which can make it closer to the actual application.Based on the above considerations,a lightweight malicious domain name detection model based on separable convolution was proposed.The model uses a separable convolution structure.It first applies depthwise convolution on every input channel,and then performs pointwise convolution on all output channels.This can effectively reduce the parameters of convolution process without impacting the effectiveness of convolution feature extraction,and realize faster convolution process while keeping high accuracy.To improve the detection accuracy considering the imbalance of the number and difficulty of positive and negative samples,a focal loss function was introduced in the training process of the model.The proposed algorithm was compared with three typical deep-learning-based detection models on a public data set.Experimental results denote that the proposed algorithm achieves detection accuracy close to the state-of-the-art model,and can significantly improve model inference speed on CPU.…”
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