Software Defect Prediction For Quality Evaluation Using Learning Techniques Ensemble Stacking by Muhammad Romadhona Kusuma, Windu Gata, Sigit Kurniawan, Dedi Dwi Saputra, Supriadi Panggabean

“…We performed hyperparameter tuning with grid search CV on Machine Learning algorithms such as Ada Boost and Gradient Boosting. …”
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Direct coupling analysis and the attention mechanism by Francesco Caredda, Andrea Pagnani

“…The model’s parameters, notably fewer than those in standard DCA-based algorithms, can be directly used for extracting structural determinants such as the contact map of the protein family under study. …”
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Classification of NSCLC subtypes using lung microbiome from resected tissue based on machine learning methods by Pragya Kashyap, Kalbhavi Vadhi Raj, Jyoti Sharma, Naveen Dutt, Pankaj Yadav

“…Next, benchmarking was performed across six different supervised-classification algorithms viz. logistic-regression, naïve-bayes, random-forest, extreme-gradient-boost (XGBoost), k-nearest neighbor, and deep neural network. …”
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Improving Unplugged Computational Thinking Skills Through Integrated Problem-Based and Differentiated Learning in Indonesia by Dewi Oktaviani, Susilo Satanti

“…This Classroom Action Research aims to improve students’ computational thinking (abstraction, data collection, data analysis and algorithms) in solving problems about probability through problem-based learning integrated with differentiation learning. …”
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High Performance GPU-Based Fourier Volume Rendering by Marwan Abdellah, Ayman Eldeib, Amr Sharawi

“…The introduction of the compute unified device architecture (CUDA) technology enables embarrassingly-parallel algorithms to run efficiently on CUDA-capable GPU architectures. …”
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Extracting the Complete Travel Trajectory of Subway Passengers Based on Mobile Phone Data by Junwei Zhang, Wei Wu, Qixiu Cheng, Weiping Tong, Anish Khadka, Xiao Fu, Ziyuan Gu

“…The results show that the proposed algorithms can effectively extract the complete travel trajectory of subway passengers.…”
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Robot Obstacle Avoidance Learning Based on Mixture Models by Huiwen Zhang, Xiaoning Han, Mingliang Fu, Weijia Zhou

“…We briefly surveyed the existing obstacle avoidance algorithms; then a new obstacle avoidance learning framework based on learning from demonstration (LfD) is proposed. …”
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Combinatorial Robust Optimization with Decision-Dependent Information Discovery and Polyhedral Uncertainty by Omer, Jérémy, Poss, Michael, Rougier, Maxime

“…We extend this formulation to more general nominal problems through column generation and constraint generation algorithms. We illustrate our reformulations and algorithms numerically on the selection problem, the orienteering problem, and the spanning tree problem.…”
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Lightweight attention-based SAR ship detector by YU Nanjing, FENG Daquan, ZHU Ying, ZHANG Hengjia, LU Ping

“…With excellent learning performance, convolutional neural networks are employed in the SAR ship detection algorithms. However, it is difficult to extract features. …”
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Sketch-Based Spatial Queries for the Retrieval of Human Locomotion Patterns in Smart Environments by Gamhewage C. de Silva, Toshihiko Yamasaki, Kiyoharu Aizawa

“…Directional search algorithms based on the minimum distance between points are applied for finding the best matches to the sketch. …”
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Fractal Dimension versus Process Complexity by Joost J. Joosten, Fernando Soler-Toscano, Hector Zenil

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Models of idealized films and optimal networks relations between the problems and simulation results by Vydūnas Šaltenis

“…The simulation of wet films was used in algorithms and software for solving the Steiner prob­lem. …”
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Extremal Inverse Eigenvalue Problem for a Special Kind of Matrices by Zhibing Liu, Yeying Xu, Kanmin Wang, Chengfeng Xu

“…Our results are constructive and they generate algorithmic procedures to construct such matrices.…”
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δ-Cut Decision-Theoretic Rough Set Approach: Model and Attribute Reductions by Hengrong Ju, Huili Dou, Yong Qi, Hualong Yu, Dongjun Yu, Jingyu Yang

“…Furthermore, with respect to criterions of decision-monotonicity and cost decreasing, two different algorithms are designed to compute reducts, respectively. …”
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Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion by Shaojin Ma, Weiguo Pan, Hongzhe Liu, Songyin Dai, Bingxin Xu, Cheng Xu, Xuewei Li, Huaiguang Guan

“…In recent years, more and more algorithms have been applied to image dehazing and achieved good results. …”
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Prediction of case types from non-searchable pdf documents in arabic: Comparison of machine learning and deep learning with image processing by El Arrasse Mouad, Khourdifi Youness, Mounir Soufyane, El Alami Alae

“…To achieve this, we utilized image processing, text cleaning techniques, and machine learning algorithms.We carried out a comparative study using both machine learning and deep learning techniques. …”
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Load recognition method based on convolutional neural network and attention mechanism by ZHAO Yitao, LI Zhao, LIU Xinglong, LUO Zhao, WANG Gang, SHEN Xin

“…Aiming at the problems of poor recognition performance of traditional algorithms and difficulty in adapting to the current complex electricity environment, a NILM load recognition method integrating convolutional neural network (CNN)-self-attention mechanism is proposed from the optimization idea of enhancing the feature extraction performance of classification algorithms. …”
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A Scalable Ensemble Learning-Based Model for Optimal Placement of Circuit Breaker and Sectionalizer in Power Distribution Systems with the Aim of Reliability Improvement by Mehrdad Ebrahimi, Mohammad Rastegar

“…However, existing mathematical optimization algorithms, such as classic and metaheuristic methods, cannot solve the optimal switch placement problem for large-scale systems. …”
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Technical and Economic Assessment of Choosing Location of Step-Down Transformer Substation by V. V. Krotenok, Yu. V. Rabskaya

“…The paper considers a problem concerning existing methods for  choosing location of a step-down transformer substation (STS). Algorithms and program segments for calculation of STS location using  existing and CG methods have been developed in the paper. …”
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Bioinformatics insights into mitochondrial and immune gene regulation in Alzheimer's disease by Tian Meng, Yazhou Zhang, Yuan Ye, Hui Li, Yongsheng He

“…Then, using machine learning algorithms, biomarkers with good diagnostic value were selected, and a nomogram was constructed. …”
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