Machine learning models for predicting the bearing capacity of shallow foundations: A Comparative study and sensitivity analysis by Hamid Mohammadnezhad, Seyedmohammad Eslami

“…But more importantly, the precision of the trained model is closely correlated to data splitting and the ratio of train and test series in the dataset. The importance of splitting procedure was examined through trial and error with parameters of train test data ratio and the random state of sampling. …”
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THE STUDY OF HELICOVERPA ARMIGERA (HÜBNER) AND SPODOPTERA EXIGUA (HÜBNER) BIOLOGICAL LIFESTYLES IN ARMENIA by H.L. Terlemezyan, M.H. Ghazaryan

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Classification of Speech Emotion State Based on Feature Map Fusion of TCN and Pretrained CNN Model From Korean Speech Emotion Data by A-Hyeon Jo, Keun-Chang Kwak

“…Finally, we evaluate the performance comparison from five databases: the AI-Hub speech emotion dataset built in Korea and Korean speech emotional state classification dataset built from Chosun University as well as Emo-DB, RAVDESS, and TESS datasets. …”
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Authentication of Processed Epimedii folium by EA-IRMS by Fengyan He, Mengyi Li, Yi He, Zhe Dong, Jin Cao, Zhong Dai, Shuangcheng Ma

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Physical Model versus Artificial Neural Network (ANN) Model: A Comparative Study on Modeling Car-Following Behavior at Signalized Intersections by Lan Yang, Shan Fang, Guoyuan Wu, He Sheng, Zhigang Xu, Mengxiao Zhang, Xiangmo Zhao

“…Based on the filtered NGSIM dataset, we conduct a comparative empirical study of three conventional CF models and five ANN CF models. …”
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Water quality assessment for aquaculture using deep neural network by Rajeshwarrao Arabelli, T. Bernatin, Venkataramana Veeramsetty

“…This dataset consists of total 14 input parameters like temperature, turbidity, dissolved Oxygen, biochemical oxygen demand (BOD), CO2, pH, alkalinity, hardness, calcium, ammonia, nitrite, phosphorus, H2S and plankton. …”
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The role of smart electricity meter data analysis in driving sustainable development by Archana Y. Chaudhari, Preeti Mulay, Shradha Chavan

“…The IITB Indian Residential Energy Dataset,is utilized to validate the proposed system. …”
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Remaining useful life prediction of lithium-ion batteries using a novel particle flow filter framework with grey model by Wang Shuai, Li Yiting, Zhou Shoubin, Chen Lifei, Michael Pecht

“…On the CALCE and NASA PCoE LIB dataset, GM-PFF reduces RMSE by 1% compared to PFF, exhibiting a higher prediction accuracy and effectively addressing the particle degradation problem.…”
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Predicting Olympic Medal Trends for Southeast Asian Countries Using the Facebook Prophet Model by Bagus Al Qohar, Yulizchia Malica Pinkan Tanga, Putri Utami, Maylinna Rahayu Ningsih, Much Aziz Muslim

“…On the Olympic Games (1994-2024) dataset, the model has a very low error MAE, MSE, and RMSE and has an R2 score of 0.99, which is close to perfect. …”
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Application of Support Vector Machine in the Evaluation of Table Tennis Motion Profiles by Zhiqing Zhang, Parvathi Nathan Pazhaya Veedu, Benjamin Halkon, Siaw Meng Chou

“…The model was trained using an existing dataset of displacements and velocities from various important anatomical landmarks across the body and points on the racket. …”
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Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics by Kunxiong Ling, Jan Thiele, Thomas Setzer

“…We use Monte Carlo simulations to regress information loss on the number of bins and PCs, given few parameters of a dataset related to its scale and correlation structure. …”
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AI and Language: New Forms for Old Discriminations? A Case Study in Google Translate and Canva by Martina Mattiazzi

“…Gender biases are consequences of the structural inequalities present in society: it is not the technology that is sexist, but it is the dataset on which it is based, which in turn is based on the results produced by users and published on internet. …”
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Post-joining thermal characteristics and repair integrity of carbon fiber-reinforced thermoplastic composites during ultrasonic reconsolidation at 20 kHz by Balaji Ragupathi, Lena Burger, Frank Balle

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Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism by Dong Yun Lee, Jang Yeop Kim, Soo Young Cho

“…To address this challenge, this study proposes a convolutional neural network (CNN)-based super-resolution architecture, utilizing a melanoma dataset to enhance image resolution through deep learning techniques. …”
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Elevated Circulating IL-1<mml:math> <mml:mi>&#x03B2;</mml:mi> </mml:math> and TNF-Alpha, and Unaltered IL-6 in First-Trimester Pregnancies Complicated by Threatened Abortion With...

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A new clothing image retrieval algorithm based on sketch component segmentation in mobile visual sensors by Haopeng Lei, Yugen Yi, Yuhua Li, Guoliang Luo, Mingwen Wang

“…The approach is evaluated on a large, real-world clothing image dataset, and experimental results demonstrate the effectiveness and good performance of the proposed method.…”
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Extracting Implicit User Preferences in Conversational Recommender Systems Using Large Language Models by Woo-Seok Kim, Seongho Lim, Gun-Woo Kim, Sang-Min Choi

“…The proposed approach is validated through experiments on three comprehensive datasets: the Reddit Movie Dataset (8413 dialogues), Inspired (825 dialogues), and ReDial (2311 dialogues). …”
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Hybrid Modified K-Means with C4.5 for Intrusion Detection Systems in Multiagent Systems by Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, Mohd Zakree Ahmad Nazri

“…KDD Cup 1999 dataset is used for evaluation. The proposed hybrid modified K-means with C4.5 classification in MAS is developed in JADE platform. …”
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Advanced machine learning approach with dynamic kernel weighting for accurate electrical load forecasting by C. Jeevakarunya, V. Manikandan

“…The first step in preparing the dataset is to perform preprocessing, which involves conducting correlation analysis, scaling, and normalization followed by initial hyperparameter tuning using the multiswarm Levy flight particle swarm optimization technique. …”
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Consumption of Cross-Linked Resistant Starch (RS4XL) on Glucose and Insulin Responses in Humans by Enas K. Al-Tamimi, Paul A. Seib, Brian S. Snyder, Mark D. Haub

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