Qualitative Mechanical Problem-Solving by Artificial Agents: by Shreya Banerjee, Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu

“…We embrace this history, and take new, further steps to advance QMPS. The Bennett Mechanical Comprehension Tests (BMCT-I and BMCT-II) assess a human’s ability to solve QMPS problems, and are used in the real world by many employers to evaluate job candidates. …”
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A hybrid VMD-LSTM-SVR model for landslide prediction by Nianhong Wang, Meijun Wang, Jun Zhang

“…Consequently, predicting landslide displacement has become a focal point in engineering research. This study employs the Long Short-Term Memory (LSTM) neural network and Support Vector Regression (SVR), combined with the Variational Mode Decomposition (VMD) algorithm, to construct predictive models. …”
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Road-mapping for smart and lean tools with a sustainability perspective: A new model proposal by Mehmet Akif Gündüz, Sercan Demir, Turan Paksoy

“…To illustrate the model’s applicability, an anonymous case study is presented, showcasing the step-by-step application of the algorithm. This contribution is significant for enterprises seeking operational excellence and competitive advantage in the Industry 4.0 era. …”
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Diabetes diagnosis using a hybrid CNN LSTM MLP ensemble by Yanmin Fan

“…The second step involves employing two neural networks to retrieve features. …”
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An Improved Optimal Cloud Entropy Extension Cloud Model for the Risk Assessment of Soft Rock Tunnels in Fault Fracture Zones by Shuangqing Ma, Yongli Xie, Junling Qiu, Jinxing Lai, Hao Sun

“…This study proposes a risk-grading methodology that integrates an enhanced game theoretic weight-balancing algorithm with an optimized cloud entropy extension cloud model. …”
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Parallel convolutional neural network and empirical mode decomposition for high accuracy in motor imagery EEG signal classification. by Jaipriya D, Sriharipriya K C

“…Traditional EEG pattern recognition algorithms typically involve two key steps: feature extraction and feature classification, both crucial for accurate operation. …”
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Long-term Land Cover Dataset of the Mongolian Plateau Based on Multi-source Data and Rich Sample Annotations by Juanle Wang, Kai Li, Tengfei Han, Yifei Sun, Mengmeng Hong, Yating Shao, Zhichen Sun, Meng Liu, Fengjiao Li, Yuhui Su, Qilin Jia, Yaping Liu, Jiazhuo Liu, Jiawei Jiang, Altansukh Ochir, Davaadorj Davaasuren, Mengqiong Xu, Yamin Sun, Shaopu Huang, Weihao Zou, Feiran Sun

“…Using machine learning and cloud computing, the novel dataset spanning the period of 1990–2020. Random Forest algorithm was employed to integrate training samples with multisource features for landcover classification, and a two-step Random Forest classification strategy to improve detail land cover results in transition regions. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Among the vegetation indices used in the SVM algorithm, LAI had the most significant impact, increasing the classification accuracy by 2.64%. …”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…As a consequence of this conversion, breast tumors with anomalies become more visible, which allows us to extract more accurate features about them. In a subsequent step, Machine Learning (ML) algorithms are employed to classify these tumors as malign or benign cases. …”
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Survival analysis using machine learning in transplantation: a practical introduction by Andrea Garcia-Lopez, Maritza Jiménez-Gómez, Andrea Gomez-Montero, Juan Camilo Gonzalez-Sierra, Santiago Cabas, Fernando Giron-Luque

“…This study aims to provide an introduction to the application of the RSF model in survival analysis in kidney transplantation alongside a practical guide to develop and evaluate predictive algorithms. Methods We employed a RSF model to analyze a simulated dataset of kidney transplant recipients. …”
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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…</p> <p style="text-align: left;">The findings are from four sections, each of which divided into relevant sub-sections. In the first step, in order to determine the weight of the relative importance of the mentioned components, by asking 20 experts based on the algorithm of the analytical model of the preferential weighting ratio (SWARA), the weights of the indicators and sub-indices were extracted and ranked in the ARAS model. …”
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Two-Level Distributed Multi-Source Information Fusion Model for Aphid Monitoring and Forecasting in the Greenhouse by Xiaoyin Li, Lixing Wang, Min Dai, Yongji Zhang, Wei Su, Mingyou Wang, Hong Miao

“…To enhance the accuracy of regional environmental parameters, a weighted average algorithm employs environmental sensor data in the first level of fusion. …”
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含间隙的斜齿轮副扭振分析与试验研究 by 李素有, 孙智民, 沈允文

“…Further more, a numerical integration algorithm with adaptive step size control has been applied to solve the governed equation aiming to obtain the steady state forced response for the internal sinusoidal excitations. …”
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An improved deep CNN-based freshwater fish classification with cascaded bio-inspired networks by Asadullah Shaikh, Wahidur Rahman, Kaniz Roksana, Tarequl Islam, Mohammad Motiur Rahman, Hani Alshahrani, Adel Sulaiman, Mana Saleh Al Reshan

“…The proposed methodology involves several key steps, including building a comprehensive dataset, extracting features from fish images using pre-trained Convolutional Neural Network (CNN) models, and employing typical ML approaches. …”
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Transfer learning based feature selection for feedforward neural network for speech emotion classifier by D. V. Krasnoproshin, M. I. Vashkevich

“…Proposed transfer learning approach consist in employing the backward-step selection algorithm for feature selection using statistical learning classifiers, the obtained subset of features than subsequently used to train feedforward neural networks. …”
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SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS by V. M. Deundyak, M. A. Zhdanova

“…The solution is based on Shun-Zheng Yu forward algorithm for a general hidden semi-Markov model. This approach differs from the traditional one and employs posterior probabilities. …”
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Unsupervised Rural Flood Mapping from Bi-Temporal Sentinel-1 Images Using an Improved Wavelet-Fusion Flood-Change Index (IWFCI) and an Uncertainty-Sensitive Markov Random Field (US... by Amin Mohsenifar, Ali Mohammadzadeh, Sadegh Jamali

“…In the first step, an improved wavelet-fusion flood-change index (IWFCI) is proposed. …”
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Energy-Efficient UAV Trajectory Design and Velocity Control for Visual Coverage of Terrestrial Regions by Hengchao Li, Riheng Jia, Zhonglong Zheng, Minglu Li

“…Finally, the fourth step employs dynamic programming (DP) and geometry to jointly determine the UAV’s velocity control and complete trajectory during its task tour. …”
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Image Robust Watermarking Method Based on DWT-SVD Transform and Chaotic Map by Weishuai Wu, Yujiao Dong, Guangyi Wang

“…The existing watermarking algorithms make it difficult to balance the invisibility and robustness of the watermark. …”
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An Introduction to B-Cell Epitope Mapping and In Silico Epitope Prediction by Lenka Potocnakova, Mangesh Bhide, Lucia Borszekova Pulzova

“…In the last decade, in-depth in silico analysis and categorization of the experimentally identified epitopes stimulated development of algorithms for epitope prediction. Recently, various in silico tools are employed in attempts to predict B-cell epitopes based on sequence and/or structural data. …”
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