Application of Convolutional Neural Network (CNN) Algorithm with ResNet-101 Architecture for Monkey Pox Detection in Human by Al Fathir Rizal Januar, Jamaludin Indra, Dwi Sulistya Kusumaningrum, Sutan Faisal

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Health State Prediction of Lithium-Ion Battery Based on Improved Sparrow Search Algorithm and Support Vector Regression by Deyang Yin, Xiao Zhu, Wanjie Zhang, Jianfeng Zheng

“…The model uses nonlinear weight reduction (NWDM) to enhance the search capability of the Sparrow algorithm and combines a mixed mutation strategy to reduce the risk of local optimal traps. …”
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A sampling-based winner determination model and algorithm for logistics service procurement auctions under double uncertainty by Mingqiang Yin, Hao Wang, Qiang Liu, Xiaohu Qian, He Zhang, Xianming Lang

“…To address the challenges brought by numerous demand and disruption scenarios in model solving, combining dual decomposition Lagrangian relaxation algorithm and scenario reduction approach, a sampling-based heuristic algorithm is proposed. …”
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Predictive Modeling of Surface Subsidence Considering Different Environmental Risk Zones by Yunsong Li, Yongjun Qin, Liangfu Xie, Yangchun Yuan, Jie Ran

“…Adopt four different noise reduction algorithms for data noise reduction on the raw data of the monitoring points at the intervals of different risk zones, and combine the time series prediction as well as the deep learning prediction method to get the prediction model for environmental risk zoning based on the environmental risk zoning. …”
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RISKS OF IMPLEMENTING AND USING ARTIFICIAL INTELLIGENCE BY OIL AND GAS SECTOR ENTERPRISES by V.B. Kochkodan, M.Yu. Petryna

“…The most critical risks were identified as increased vulnerability to cyberattacks, unreliability of algorithms, data breaches, and social risks related to job reductions and the need for personnel retraining. …”
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Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach by Rasool Jader, Sadegh Aminifar

“…Intelligent systems designed by machine learning algorithms are remodelling all fields of our lives, including the healthcare system. …”
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Energy Risk Analysis With Dynamic Amplitude Estimation and Piecewise Approximate Quantum Compiling by Kumar Ghosh, Kavitha Yogaraj, Gabriele Agliardi, Piergiacomo Sabino, Fernandez-Campoamor Marina, Bernabe-Moreno Juan, Giorgio Cortiana, Omar Shehab, Corey O'Meara

“…In this article, we generalize the approximate quantum compiling algorithm into a new method for <sc>cnot</sc>-depth reduction, which is apt to process wide target quantum circuits. …”
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The effects of attention to climate change on carbon, fossil energy and clean energy markets: Based on causal network learning algorithms by Wenwen Liu, Miaomiao Tang, Peng Zhao

“…Climate-driven market interdependencies critically influence emission reduction strategies, yet the causal mechanisms linking carbon, fossil, and clean energy markets remain poorly quantified -a knowledge gap impairing risk-aware policymaking and sustainable investments. …”
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Assessing cyber risks in construction projects: A machine learning-centric approach by Dongchi Yao, Borja García de Soto

“…A two-phase model development strategy is proposed to select the optimal model for each risk. (2) For risk factor analysis, ML feature analysis methods are adapted to identify risk factors that contribute significantly to risks of specific projects. (3) For the risk reduction strategy, a greedy optimization algorithm is proposed to efficiently address high-contributing risk factors. …”
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Prediction and Assessment of Myocardial Infarction Risk on the Base of Medical Report Text Collection by Margaryta Prazdnikova

“…The proposed prediction model demonstrated high efficiency in identifying patients at increased risk of heart attack. By analyzing the frequency of specific words in medical records, the algorithm successfully predicted a high risk of heart attack for 80 % of patients with an expected event. …”
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Comprehensive analysis of compound drought and heatwave events in China over recent decades based on regional event identification algorithm by Liu Jinping, Li Mingzhe, Liu Tie, Ren Yanqun, Hu Qingfeng, Masoud Jafari Shalamzari, Quoc Bao Pham, He Peipei

“…These findings are valuable for enhancing disaster risk reduction and climate change adaptation. In light of growing CDHE severity, a strategy emphasizing mitigation while equally addressing adaptation is essential.…”
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Spironolactone Reduces the Risk of Death in Veterans With Heart Failure With Preserved Ejection Fraction by Katherine E. Kurgansky, Rachel Parker, Luc Djousse, David R. Gagnon, Jacob Joseph

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Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms by Weicheng Pan, Jinlian Cheng, Shanshan Lin, Qianxi Li, Yuanyuan Liang, Huiying Li, Xianxian Nong, Huizhen Nong

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Risk-based Approach in Obtaining and Analysing the Characteristics of Baikal Skullcap Suspension Cultures by A. A. Shmarova, N. S. Pivovarova, O. N. Abrosimova

“…Risk analysis resulting from in vitro cultivation of Baikal skullcap (Scutellaria baicalensis Georgi).Materials and methods. …”
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Investigating Catching Hotspots of Fishing Boats: A Framework Using BeiDou Big Data and Deep Learning Algorithms by Fen Wang, Xingyu Liu, Tanxue Chen, Hongxiang Feng, Qin Lin

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Treatment Tactics and Complications After Surgical Treatment of HIV-Infected Patients With Extra-Articular Fractures of the Long Bones of Extremities by N. G. Doronin, S. N. Khoroshkov, M. V. Naumenko

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Development of modified multi-parametric CT algorithms for diagnosing clear-cell renal cell carcinoma in small solid renal masses by Pengfei Jin, Linghui Zhang, Hong Yang, Tingting Jiang, Chenyang Xu, Jiehui Huang, Zhongyu Zhang, Lei Shi, Xu Wang

“…Logistic regression analysis determined that the Major axis / Minor axis (> 1.16), the tumor-renal interface (> 22.3 mm), and the SNRR (> 0.16) as additional independent risk factors to combine with HS and MCAR. Compared to the original CT-score, the two CT algorithms combined tumor-renal interface and SNRR showed significantly improved diagnostic efficacy for ccRCC (AUC: 0.770 vs. 0.861 and 0.862, all P < 0.001). …”
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STOCK PRICE PREDICTION AND SIMULATION USING GEOMETRIC BROWNIAN MOTION-KALMAN FILTER: A COMPARISON BETWEEN KALMAN FILTER ALGORITHMS by Dimas Avian Maulana, A'yunin Sofro, Danang Ariyanto, Riska Wahyu Romadhonia, Affiati Oktaviarina, Mohammad Dian Purnama

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Assessing the Risk of Natural and Socioeconomic Hazards Caused by Rainfall in the Middle Yellow River Basin by Yufeng Zhao, Shun Xiao, Xinshuang Wu, Shuitao Guo, Yingying Yao

“…Our study provided an evaluation framework for multi-hazard risk assessment and insights for the development of disaster prevention and reduction policies.…”
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Machine learning based risk analysis and predictive modeling of structure fire related casualties by Andres Schmidt, Eric Gemmil, Russ Hoskins

“…As the first statewide analysis of its kind, our spatial assessment provides a useful tool for resource allocation, risk factor reduction, and safety education efforts targeted to reduce the number of serious injuries or fatalities from structure fires.…”
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