Model interpretability on private-safe oriented student dropout prediction by Helai Liu, Mao Mao, Xia Li, Jia Gao

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Prediction of Students’ Performance Based on the Hybrid IDA-SVR Model by Huan Xu

“…According to the obtained results, the IDA-SVR model clearly outperformed the other models by achieving less mean square error (MSE). …”
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Recent advances in explainable Machine Learning models for wildfire prediction by Abira Sengupta, Brendon J. Woodford

“…Machine Learning (ML) and Artificial Intelligence models have emerged to predict both the onset of wildfires and evaluate the extent of damage a wildfire would cause. …”
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An improved performance model for artificial intelligence-based diabetes prediction by Ugwu Hillary Okwudili, Oparaku Ogbonna Ukachukwu, V. C. Chijindu, Michael Okechukwu Ezea, Buhari Ishaq

“…Abstract This research study addresses the pressing issue of diabetes prediction using advanced machine learning techniques, presenting the development of an ensemble model that significantly outperforms existing methods by 1.6% using area under the curve as the primary performance metric. …”
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Prediction of hepatitis-C virus using statistical learning models by Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar

“…The models were evaluated using various performance metrics, and a comparative analysis using non-parametric tests was conducted to evaluate the statistical significance of the model. …”
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Using a Prediction Model to Manage Cyber Security Threats by Venkatesh Jaganathan, Priyesh Cherurveettil, Premapriya Muthu Sivashanmugam

“…This paper proposes a mathematical model to predict the impact of an attack based on significant factors that influence cyber security. …”
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An accurate model to predict drilling fluid density at wellbore conditions by Mohammad Ali Ahmadi, Seyed Reza Shadizadeh, Kalpit Shah, Alireza Bahadori

“…To construct and examine the predictive models the data samples of the open literature were used. …”
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The construction and validation of a prediction model of hypertensive disease in pregnancy by Yuanyuan Chen, Jianting Ma

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LAPM: The Location Aware Prediction Model in Human Sensing Systems by Ruiyun Yu, Pengfei Wang, Shiyang Liao

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Strategic model for predicting customer's intention to purchase apparel online by D. Malmarugan

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Establishment of a model for the occurrence and prediction of bayberry decline disease by LUO Jinyan, ZHENG Xiliang, QI Xingjiang, ZHANG Shuwen, YU Zheping, REN Haiying

“…In order to develop the key prevention and control technologies of bayberry decline disease, and grasp the regularity of the disease, one model of disease prediction and forecasting is needed to be established. …”
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Comparative Study of Deep Learning Models for Predicting Stock Prices by Van-Thang Duong, Duc-Tuan-Anh Nguyen, Thi-Thu-Hang Pham, Van-Hau Nguyen, Van-Quoc Anh Le

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Processing and Shelf-Life Prediction Models for Ready-to-Eat Crayfish by Qian Li, Jieyu Lei, Keying Su, Xiaoying Chen, Laihoong Cheng, Chunmin Yang, Shiyi Ou

“…This study investigated the production process of ready-to-eat crayfish, focusing on changes in sensory quality, pH, total volatile base nitrogen (TVB-N), total viable count (TVC), acid value (AV), springiness, and hardness during storage at 4 °C, 25 °C, and 37 °C. A shelf-life prediction model was developed using the Arrhenius model. …”
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Zero-Shot Prediction of Conversational Derailment With Large Language Models by Kenya Nonaka, Mitsuo Yoshida

“…To address this challenge, we focus on the zero-shot performance of large language models (LLMs), which have advanced rapidly in recent years. …”
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Predicting the Ultimate Bearing Capacity of Bolts with an Optimized Function Model by Bin Zheng, Jian Zhang, Tugen Feng, Maosen Cao

“…In this paper, several function models that are commonly used for predicting the ultimate bearing capacity of bolts are presented. …”
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A Hybrid LSTM-GRU Model for Stock Price Prediction by Amirfarhad Farhadi, Azadeh Zamanifar, Amir Alipour, Alireza Taheri, Mohammad Asadolahi

“…By combining the capabilities of these two networks along together, we present a model for predicting market fluctuations. Our proposed model was evaluated in a specified test market, achieving a 3% improvement in Mean Squared Error (MSE) over the previous best approaches.…”
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Modeling and Predicting Human Actions in Soccer Using Tensor-SOM by Moeko Tominaga, Yasunori Takemura, Kazuo Ishii

“…This study proposes an action decision system based on self-organizing maps (SOM), a widely used unsupervised learning model, and evaluates its effectiveness in promoting cooperative play within human teams. …”
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A Fusion Model for Predicting the Vibration Trends of Hydropower Units by Dong Liu, Youchun Pi, Zhengyang Tang, Hongpeng Hua, Xiaopeng Wang

“…To enable timely monitoring of unit performance, it is critical to investigate the trends in vibration signals, to enhance the accuracy and reliability of vibration trend prediction models. This paper proposes a fusion model for the vibration signal trend prediction of hydropower units based on the waveform extension method empirical mode decomposition (W-EMD) and long short-term memory neural network (LSTMNN). …”
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Computer Intelligence in Modeling, Prediction, and Analysis of Complex Dynamical Systems by Ivan Zelinka, Ajith Abraham, Otto Rossler, Mohammed Chadli, Rene Lozi

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A mathematical model to predict the requirement for multiple Z plasties by Ellur Sunderraj

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