Machine learning prediction of permeability distribution in the X field Malay Basin using elastic properties by Zaky Ahmad Riyadi, John Oluwadamilola Olutoki, Maman Hermana, Abdul Halim Abdul Latif, Ida Bagus Suananda Yogi, Said Jadid A. Kadir

“…This research highlights a robust method for predicting permeability distribution using elastic properties, which can significantly enhance the efficiency of reservoir assessment. By enabling accurate permeability predictions with minimal well data, this approach facilitates the rapid identification of high-potential zones, potentially replacing traditional geophysical methods.…”
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Applying Analytical Hierarchy Process (AHP) to BIM-Based Risk Management for Optimal Performance in Construction Projects by Khaled Jameel Aladayleh, Mohammad J. Aladaileh

“…This study explores integrating Building Information Modeling (BIM) technology into risk management practices for construction projects, aiming to enhance project performance through improved risk identification, assessment, and mitigation. …”
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A Reinforcement Learning-Based Generative Approach for Event Temporal Relation Extraction by Zhonghua Wu, Wenzhong Yang, Meng Zhang, Fuyuan Wei, Xinfang Liu

“…Lastly, to mitigate the high variance issue encountered when using the REINFORCE algorithm in multi-task generative model training, we propose a baseline policy gradient algorithm to improve the stability and efficiency of the training process. …”
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Preliminary design of a traffic separation scheme at the hub port of IKN: hydro-oceanographic analysis for navigational safety in the Makassar Strait by Ibnu Fauzi, Danang Ariyanto, Cahyarsi Murtiaji, Catur Indra Sukmana, Eny Cholishoh

“…Safety assessments were conducted based on historical collision records and probabilistic modeling of grounding, stranding, and vessel collisions. …”
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Generative Artificial Intelligence for Hyperspectral Sensor Data: A Review by Diaa Addeen Abuhani, Imran Zualkernan, Raghad Aldamani, Mohamed Alshafai

“…Despite these advancements, challenges remain, particularly in developing computationally efficient models for super-resolution and data synthesis. …”
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Predicting isolated impaired glucose tolerance without oral glucose tolerance test using machine learning in Chinese Han men by Lin Wang, Jing Xie, Zhaoyan Gu, Xinyu Miao, Lichao Ma, Shuangtong Yan, Yanping Gong, Chunlin Li, Banruo Sun, Yue Ruan

“…Additionally, FPG alone could serve as an efficient screening tool for the early identification of I-IGT in clinical settings.…”
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Proactive recognition and early detection in communities through targeted HIV screening by Mehdi Nejat, Hamid Reza Marateb, Mehrshad Alirezaei Farahani, Mohammad Zakaria Rajabi, Maryam Nasirian, Miguel Angel Mañanas, Mohammad Javad Tarrahi, Marjan Mansourian

“…PREDICT-HIV may support earlier identification and intervention in underserved populations, improving the efficiency of HIV screening programs.…”
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Effectiveness of Engineering Service Organizations in Global Projects Execution by Aleksei Stepin

“…Highlighted the importance to consider several specific features of Engineering Service companies in order to maintain the high efficiency of the global Engineering Services model. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…The experimental results demonstrate that the proposed FRPF-CSO model achieves a high early warning lead time of 2.1 quarters, a prediction accuracy of 95.72%, a convergence rate of 9.87 s, a risk detection ratio of 97.63%, and a computational efficiency ratio of 98.2% compared to other existing methods.…”
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Targeted generative data augmentation for automatic metastases detection from free-text radiology reports by Maede Ashofteh Barabadi, Xiaodan Zhu, Wai Yip Chan, Amber L. Simpson, Richard K. G. Do

“…We also compare metastasis identification accuracy between models utilizing institutionally standardized reports vs. non-structured reports, which complicate the extraction of relevant information, and show how including patient history with a customized model architecture narrows the gap between those two setups from 7.3 to 4.5 points on F1-score under LoRA tuning. …”
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An Optimized Multi-Stage Framework for Soil Organic Carbon Estimation in Citrus Orchards Based on FTIR Spectroscopy and Hybrid Machine Learning Integration by Yingying Wei, Xiaoxiang Mo, Shengxin Yu, Saisai Wu, He Chen, Yuanyuan Qin, Zhikang Zeng

“…Among feature selection methods, the SPA reduced over 300 spectral bands to 10 informative wavelengths, enabling efficient modeling with minimal information loss. The SD + SPA + RF pipeline achieved the highest prediction performance (R² = 0.84, RMSE = 4.67 g/kg, and RPD = 2.51), outperforming the PLSR and BPNN models. …”
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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

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Investigation of Heat and Mass Transfer in the Process of Fuel Preparation from Biomass Particles with High Moisture by A. V. Mitrofanov, O. B. Kolibaba, R. N. Gabitov, D. A. Dolinin, S. V. Vasilevich

“…In addition, the drying stage is extremely energy-consuming, so reliable prediction of its kinetics largely determines the efficiency of the entire technological process. In the course of the study, the following tasks were solved: a numerical method was developed for describing the processes of internal and external heat and mass transfer problems using an explicit difference approximation of differential equations of heat and mass transfer; parametric identification of the proposed one-dimensional mathematical model was performed using empirical dependencies known from literature sources; empirical verification of the proposed mathematical model was carried out by comparing the calculated forecasts obtained with the results of their own field experiments. …”
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A HYBRID APPROACH FOR MALARIA CLASSIFICATION USING CNN-BASED FEATURE EXTRACTION AND TRADITIONAL MACHINE LEARNING CLASSIFIERS by omar Mohammed Alzakholi, Walat A. Ahmed, Bafreen N. Mohammed, Asaad Kh. Ibrahim

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EHO-Q-LGAN: An EHO-Based Q-Learning GAN for the Timely Diagnosis of Diabetic Retinopathy by Maneesha Vadduri, P. Kuppusamy

“…The EHO Model extracts and selects multidimensional features from the segmented images, and the autoencoder model with Q-LGAN optimizes the classification and severity identification process. …”
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Risk Prediction of Coal and Gas Outburst Based on Abnormal Gas Concentration in Blasting Driving Face by Liming Qiu, Yujie Peng, Dazhao Song

“…There are strong correlations between the growth rate, peak value, and decay rate of gas concentration after blasting and K1 value, and the maximum correlation coefficient is 0.92. Using the prediction model, 28 times of jet holes and 1 small outburst event are predicted successfully, and the efficiency of the prediction model is 76.39%. …”
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CLSTM-MT (a Combination of 2-Conv CNN and BiLSTM Under the Mean Teacher Collaborative Learning Framework): Encryption Traffic Classification Based on CLSTM (a Combination of 2-Conv... by Xiaozong Qiu, Guohua Yan, Lihua Yin

“…Therefore, there is an urgent need to develop an efficient and accurate encryption traffic identification method. …”
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Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…Therefore, an efficient software bug detection model is a critically significant challenging operation, and that has been developed in this work by designing the efficient model while using the promises dataset as input for bug identification. …”
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Research on dimension measurement algorithm for parcel boxes in high-speed sorting system by Ning Dai, Jingchao Chen, Xudong Hu, Yanhong Yuan

“…In addition, it is difficult for existing parcel box detection algorithms to strike a balance between identification efficiency, identification accuracy and deployment cost. …”
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Ocean Internal Wave Detection in SAR Images Based on Improved YOLOv7 by Limei Cai, Guozhen Zha, Mingsen Lin, Xiao Wang, Honghua Zhang

“…To improve the accuracy and efficiency of ocean internal wave identification, this paper proposes an automatic identification technique based on YOLOv7, which can quickly and accurately extract the signatures of ocean internal waves from a large amounts of SAR (Synthetic Aperture Radar) images, and realize the efficient identification of ocean internal waves. …”
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