Traditional and Perspective Methods of Corporate Non-Performing Loans Rejustment (Liquidation) by V. M. Poletaeva, A. M. Smulov

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Exploring Immersive Solutions for Surgery in the Virtuality Continuum: A Review by Belén Palma, Pablo Casanova-Salas, Jesús Gimeno, Manuel Pérez-Aixendri, José Vicente Riera

“…The evolution of technology and computer graphics algorithms has had a significant impact on the healthcare sector. …”
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Cluster mapping in Spain: Exploring the correlation between industrial agglomeration and regional performance by Rudy Fernández Escobedo, Begoña Eguía Peña, Leire Aldaz Odriozola

“…A six-step methodology is applied departing from cross-industry linkages and implementing clustering algorithms; one set of clusters is elected and mapped over territory. …”
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Design and Research of the AI Badminton Model Based on the Deep Learning Neural Network by Yujue Chen, He Hu

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Operational factors influencing quality control in ore milling: a systematic review by Eliana de Jesus Lopes, Guilherme Graciano dos Santos, Adriano Ricardo Almeida Alexandre

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Mountain & Alpine Medicine by Tannheimer M, 2

“…This requires profound training in makeshift mountain rescue techniques, the use of diagnostic algorithms and safe application of medications.Generally, material and manpower are very limited in such situations and exhaustion due to the challenging tour is an aggravating factor. …”
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A model study of teaching method reform of computer laboratory course integrating internet of things technology. by Xiao Zhou, Ledan Qian, Haider Aziz, Marvin White

“…Specifically, this research first proposed an IoT service-based face capture algorithm to optimize the accuracy of face recognition. …”
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AI-Driven Fire Detection and Suppression System with Real-Time Remote Monitoring by Metahri Dhiyaeddine, Dekar Amina, SettingsKadi Halima Bouchra

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Asymmetric Consumptive News Feed Curation? Examining How Perceived News Feed Performance Influences Boosting and Limiting Curation on Facebook by Shuning Lu, Biying Wu-Ouyang, Hsuan-Ting Chen

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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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A Learning Emotion Recognition Model Based on Feature Fusion of Photoplethysmography and Video Signal by Xiaoliang Zhu, Zili He, Chuanyong Wang, Zhicheng Dai, Liang Zhao

“…Secondly, video-based emotion recognition algorithms may witness a reduction in accuracy within spontaneous scenes due to variations, occlusions, and uneven lighting conditions, etc. …”
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easyspec: An Open-source Python Package for Long-slit Spectroscopy by Raniere de Menezes, Francesco Massaro, Michela Negro, Claudia M. Raiteri, Harold Peña-Herazo, Jose A. Acosta-Pulido

“…This package is built upon the well-established long-slit spectroscopy routines of the Image Reduction and Analysis Facility (IRAF), integrating modern coding techniques and advanced fitting algorithms based on Markov chain Monte Carlo simulations. …”
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Target determination for transcranial magnetic stimulation in patients with a pharmacotherapy-resistant depressive episode based on the individual parameters of resting-state funct... by A. G. Poydasheva, D. O. Sinitsyn, I. S. Bakulin, N. A. Suponeva, N. V. Maslennikov, E. E. Tsukarzi, S. N. Mosolov, M. A. Piradov

“…The investigation can be considered to be pilot in searching for algorithms to enhance the efficiency of rTMS DLPFC in pharmacotherapy-resistant depression using the algorithm for personification of target selection. …”
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O2O-PLB: A One-to-One-Based Optimizer With Priority and Load Balancing Mechanism for Resource Allocation in Fog-Cloud Environments by V. C. Bharathi, S. Syed Abuthahir, Monelli Ayyavaraiah, G. Arunkumar, Usama Abdurrahman, Sardar Asad Ali Biabani

“…Simulation results show that O2O-PLB outperforms traditional resource allocation methods in resource usage, response times, and latency reduction. Based on the experimental results, the O2O-PLB algorithm significantly outperforms the benchmark algorithms across essential performance metrics at varying task loads. …”
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Accurate GRACE terrestrial water storage estimations via a new fusion method by Min Dai, Hao Zhou, Wenjing Ma, Shuyun Zheng, Mingyang Xia, Yaozong Li, Zhicai Luo

“…A 62.8% reduction in average uncertainty and a 1.54-fold improvement in the SNR are similarly achieved globally. …”
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A deep neural network framework for estimating coastal salinity from SMAP brightness temperature data by Yidi Wei, Qing Xu, Qing Xu, Xiaobin Yin, Xiaobin Yin, Yan Li, Yan Li, Kaiguo Fan

“…The framework leverages machine learning interpretability tools (Shapley Additive Explanations, SHAP) to optimize input feature selection and employs a grid search strategy for hyperparameter tuning.Results and discussionSystematic validation against independent in-situ measurements demonstrates that the baseline DNN model constructed for the entire region and time period outperforms conventional algorithms including K-Nearest Neighbors, Random Forest, and XGBoost and the standard SMAP SSS product, achieving a reduction of 36.0%, 33.4%, 40.1%, and 23.2%, respectively in root mean square error (RMSE). …”
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Spatial-temporal attention for video-based assessment of intraoperative surgical skill by Bohua Wan, Michael Peven, Gregory Hager, Shameema Sikder, S. Swaroop Vedula

“…The objective in this research is to develop and validate algorithms for video-based assessment of intraoperative surgical skill. …”
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Integration of DDPM and ILUES for Simultaneous Identification of Contaminant Source Parameters and Non‐Gaussian Channelized Hydraulic Conductivity Field by Xun Zhang, Simin Jiang, Na Zheng, Xuemin Xia, Zhi Li, Ruicheng Zhang, Jiangjiang Zhang, Xinshu Wang

“…To reduce the computational burden, an AR‐Net‐WL (ARNW) surrogate model was introduced, resulting in an efficient inversion framework (AEdiffusion‐ILUES‐ARNW) with similar prediction accuracy and predictive uncertainty estimation as the AEdiffusion‐ILUES but at a lower computational cost.…”
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Penerapan SMOTE untuk Mengatasi Imbalance Class dalam Klasifikasi Kepribadian MBTI Menggunakan Naive Bayes Classifier by Mutiara Persada Pulungan, Andi Purnomo, Aliyah Kurniasih

“…Machine Learning models with Naive Bayes Classifier algorithms are often used to predict MBTI personalities from Twitter data. …”
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Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP) by Tim Rahmel, Michael Adamzik, Hartmuth Nowak, Lars Bergmann, Björn Koos, Martin Eisenacher, Barbara Sitek, Britta Marko, Lars Palmowski, Andrea Witowski, Katharina Rump, Julia Bandow, Patrick Günther

“…Our two-way approach involves creating two distinct algorithms: the first focuses on predictive accuracy and generalisability using routine clinical parameters, while the second leverages an extended dataset including a plethora of factors currently insufficiently explored and not available in standard clinical practice but may help to enhance precision. …”
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