The Advanced Actuarial Data Science Based AI-Driven Solutions for Automated Loss Reserving Under IFRS 17 in Non-Life Insurance by Brighton Mahohoho, Charles Chimedza, Florance Matarise, Sheunesu Munyira

“…Among eight evaluated machine learning algorithms, the Random Forest (RANGER) outperformed others for estimating Aggregate Comprehensive Automated Actuarial Loss Reserves (ACAALR). …”
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Modern approaches to the diagnosis and treatment of cardiac sarcoidosis: results of a cohort study by S. V. Mairina, D. V. Ryzhkova, L. B. Mitrofanova, A. V. Ryzhkov, P. M. Murtazalieva, O. M. Moiseeva

“…A certain apprehensive attitude of the doctor and adherence to the algorithm for early diagnosis of cardiac sarcoidosis allows minimizing the risks of fatal cardiovascular events. …”
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Exploring the relationship between dietary patterns and health-related quality of life among Iranian adult population: Tehran lipid and glucose study by Mahdieh Niknam, Somayeh Hosseinpour-Niazi, Sara Jalali-Farahani, Parisa Amiri, Parvin Mirmiran, Firoozeh Hosseini-Esfahani, Elaheh Ainy, Fereidoun Azizi

“…Abstract Background The current study aims to investigate the association between dietary patterns and health-related quality of life (HRQoL) in a large Iranian adult population. …”
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Hybrid Electro Search with Ant Colony Optimization Algorithm for Task Scheduling in a Sensor Cloud Environment for Agriculture Irrigation Control System by Murali Subramanian, Manikandan Narayanan, B. Bhasker, S. Gnanavel, Md Habibur Rahman, C. H. Pradeep Reddy

“…Electro search and the ant colony optimization algorithm are combined in the proposed method. Compared to HESGA, HPSOGA, AC-PSO, and PSO-COGENT algorithms, the created HES-ACO algorithm was simulated at CloudSim and found to optimize all parameters.…”
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An optimal control method considering degradation and economy based on mutual learn salp swarm algorithm of an islanded zero‐carbon DC microgrid by Ying Han, Yujing Hou, Luoyi Li, Weifeng Meng, Qi Li, Weirong Chen

“…This paper provides an optimal control method based on the mutual learn salp swarm algorithm (MLSSA) in real‐time, which aims to enhance the economy and extend the system's service life. …”
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HiGMA-DADCN: Hirudinaria granulosa multitropic algorithm optimised double attention enabled deep convolutional neural network for psoriasis classification by Soumya C S, Jayanna H S

“…The HiGMA algorithm plays a crucial role in identifying and extracting the most relevant regions of affected skin through optimal segmentation. …”
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Consistency Algorithm-Based SOC Balancing Scheme of Retired Non-Equal Capacity Lithium Battery in Virtual Synchronous Generator Controlled Microgrids by Qingfeng Wu, Xiaolin Chu, Yamin Fan, Liqun Liu, Xiaofeng Sun

“…Due to differences in service life and usage environment, the state of charge (SOC) and capacity of retired lithium battery packs in microgrids are difficult to be completely consistent. …”
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Paediatric atopic eczema (atopic dermatitis) in South Africa: A practical algorithm for the management of mild-to-moderate disease in daily clinical practice by Susanna M. Kannenberg, Sarah Karabus, Willem I. Visser, Jamilabibi Aboobaker, Magdalena M. Kriel, Michael Levin, Basil Magigaba, Ahmed Manjra, Rupesh Misra, Pholile Mpofu, Azwitamisi Tshigabe, Thomas Luger

“…Atopic eczema mostly affects children, impairing quality of life with poor disease control leading to progression of other atopic disorders. …”
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Energy efficient adaptive clustering with QoS-aware CBRP and grey wolf optimization clustering algorithm for mobile ad-hoc network (MANET) by Minal Patil, Manish Chawhan, Roshan Umate, Abhishek Madankar, Bhumika Neole

“…To meet these challenges, the algorithm of the gray wolf enhancement (GWOCA) focuses on the use of energy and choosing the best cluster (CHS). …”
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Walking detection for Parkinson’s disease patients and healthy control subjects measured with a smartphone accelerometer using mean amplitude deviation algorithm by Milla Juutinen, Jari Ruokolainen, Juha Puustinen, Anu Holm, Mark van Gils, Antti Vehkaoja

“… Parkinson's disease is a neurodegenerative disorder that affects mobility, leading to a decline in the patient's quality of life. Analyzing gait for these patients aims to improve the mobility of the Parkinson’s disease patients. …”
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Optimizing Outdoor Micro-Space Design for Prolonged Activity Duration: A Study Integrating Rough Set Theory and the PSO-SVR Algorithm by Jingwen Tian, Zimo Chen, Lingling Yuan, Hongtao Zhou

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Housing Price Modeling Using a New Geographically, Temporally, and Characteristically Weighted Generalized Regression Neural Network (GTCW-GRNN) Algorithm by Saeed Zali, Parham Pahlavani, Omid Ghorbanzadeh, Ali Khazravi, Mohammad Ahmadlou, Sara Givekesh

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Ghostly Encounters on Google by Samuel Collins

“…In so doing, spirit photography anticipates the challenges digitization, manipulation and algorithmically generated images raise to the indexical truth-value of the image. …”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

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Application Of ArtifiCial Intelligence in E-Governance: A Comparative Study of Supervised Machine Learning and Ensemble Learning Algorithms on Crime Prediction. by Niyonzima, Ivan, Muhaise, Hussein, Akankwasa, Aureri

“…In the developing world, the daily activities of humans’ social, political and economic life make it vital and easy to encounter the phenomenon of crime. …”
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Benefits and harms associated with the use of AI-related algorithmic decision-making systems by healthcare professionals: a systematic reviewResearch in context by Christoph Wilhelm, Anke Steckelberg, Felix G. Rebitschek

“…Methods: In accordance with the PRISMA guidelines, we included interventional and observational studies published as peer-reviewed full-text articles that met the following criteria: human patients; interventions involving algorithmic decision-making systems, developed with and/or utilizing machine learning (ML); and outcomes describing patient-relevant benefits and harms that directly affect health and quality of life, such as mortality and morbidity. …”
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Prediction of Remaining Useful Life of Packing Sets in a Plunger-Type High-Pressure Compressor Based on the PCA/SVD Analysis and NN Model by Jin-Wei Liang, Shyh-Chin Huang, Chun-Ling Lin

“…A machine learning-based prognostic strategy is developed in this paper for predicting the remaining useful life (RUL) of high-pressure packing in plunger-type hypercompressors. …”
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Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition by Linlin Fu, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

“…Accurate estimation of their remaining useful life (RUL) is of significant importance for early fault diagnosis and residual value evaluation. …”
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A ResNet-based deep reinforcement learning framework using soft actor-critic for remaining useful life prediction of rolling bearings by Thanh Tung Luu, Duy An Huynh

“…Accurately predicting the Remaining Useful Life (RUL) of machinery plays important role for implementing effective predictive maintenance strategies and reducing downtime. …”
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A Full-Life-Cycle Modeling Framework for Cropland Abandonment Detection Based on Dense Time Series of Landsat-Derived Vegetation and Soil Fractions by Qiangqiang Sun, Zhijun You, Ping Zhang, Hao Wu, Zhonghai Yu, Lu Wang

“…However, abandoned cropland is commonly detected based on multi-date classification or the dynamics of a single vegetation index, with the interactions between vegetation and soil time series often being neglected, leading to a failure to understand its full-life-cycle succession processes. To fill this gap, we propose a new full-life-cycle modeling framework based on the interactive trajectories of vegetation–soil-related endmembers to identify abandoned and reclaimed cropland in Jinan from 2000 to 2022. …”
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