Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review by Vishal Gaurav, Chander Grover, Mehul Tyagi, Suman Saurabh

“…Materials and Methods: A literature review on AI in nail disorders was conducted via PubMed and Google Scholar, yielding relevant studies. AI algorithms, particularly deep convolutional neural networks (CNNs), have demonstrated high sensitivity and specificity in interpreting nail images, aiding differential diagnosis as well as enhancing the efficiency of diagnostic processes in a busy clinical setting. …”
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Effortless alkalinity analysis using AI and smartphone technology, no equipment needed, from freshwater to saltwater by Zachary Y. Han, Zihan Zheng, Alan Y. Han, Huichun Zhang

“…After examining the effects of container type, lighting condition, ML algorithms, and sample size, we obtained the best models with R2 values of 0.868 ± 0.024 and 0.978 ± 0.008, and root-mean-square-error values of 29.5 ± 2.6 and 14.1 ± 2.0 for freshwater and saltwater, respectively. …”
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Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…The major goal is to augment the accuracy and efficiency of forest fire prediction, leveraging the capabilities of advanced machine learning algorithms and optimized sensor network management. …”
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Particle Swarm Optimization-Based Content Delivery Protocol for UAV VAENTs by Yongje Shin, Hyun-Seok Choi, Youngju Nam, Euisin Lee

“…Moreover, as VANET services provided in our daily lives become more extensive and situations in which they are provided simultaneously to an increasing number of users become more frequent, numerous data delivery optimization algorithms have been researched to address these issues. …”
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Overview of Solar Photovoltaic MPPT Methods: A State of the Art on Conventional and Artificial Intelligence Control Techniques by Debabrata Mazumdar, Chiranjit Sain, Pabitra Kumar Biswas, P. Sanjeevikumar, Baseem Khan

“…Many maximum power point tracking algorithms (MPPTs) that are employed in photovoltaic systems (PVSs) that function under both uniform and partial shade situations are structurally summarized in this work. …”
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Validity of Accelerometers for the Evaluation of Energy Expenditure in Obese and Overweight Individuals: A Systematic Review by Silvia Pisanu, Andrea Deledda, Andrea Loviselli, Inge Huybrechts, Fernanda Velluzzi

“…Most accelerometer estimations of EE were inaccurate for obese/overweight subjects, and authors advise to improve the accuracy of algorithms for SWA software, or the predicted equations for estimating EE from other accelerometers.…”
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Forecasting the Applied Deep Learning Tools in Enhancing Food Quality for Heart Related Diseases Effectively: A Study Using Structural Equation Model Analysis by Sunil L. Bangare, Deepali Virmani, Girija Rani Karetla, Pankaj Chaudhary, Harveen Kaur, Syed Nisar Hussain Bukhari, Shahajan Miah

“…The researchers have identified that critical algorithms like CART support the predictability of the disease by 93.3% whereas the conventional models possess vert less specificity. …”
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The impact of digital technologies on modern society. An example of a social credit rating system in China by A. P. Klimovich

“…It has been noted that despite the fact that the basic ideas for the system are borrowed from the international practice of the financial sector, making decisions on authorizing going beyond the judicial system and transferring the classification of people in the lists of good and bad to the level of algorithms run counter to the principles of European and international law.…”
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Application of Motor Imagery Brain-Computer Interface in Rehabilitation of Neurological Diseases by YANG Banghua

“…To address the poor generalization issues in traditional machine learning algorithms at the individual level of stroke patients, MI-BCI rehabilitation training system is built on the transfer learning technology. …”
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A review of hyperspectral image analysis techniques for plant disease detection and identif ication by A. F. Cheshkova

“…The review describes the main steps of the hyperspectral data analysis process: image acquisition and preprocessing; data extraction and processing; modeling and analysis of data. The algorithms and methods applied at each step are mainly summarized. …”
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Identification and validation of a metabolic-related gene risk model predicting the prognosis of lung, colon, and breast cancers by Jiyauddin Khan, Chanchal Bareja, Kountay Dwivedi, Ankit Mathur, Naveen Kumar, Daman Saluja

“…In addition, we employed machine learning algorithms such as k-nearest neighbours (KNN), support vector regressor (SVR), and extreme gradient boosting (XGBoost) to assess MRGs’ effectiveness in predicting overall patient survival. …”
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Gene expression profiling in B-cell non-Hodgkin lymphomas by Renas N. Saleem, Ahmed Khudair Yassin

“…We leveraged a dataset to explore gene expression patterns in B-NHL and applied classification algorithms to distinguish between B-NHL patients and controls. …”
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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective dat... by Jiawen Deng, Hemang Yadav, Kiyan Heybati

“…Data preprocessing steps include missing data imputation, feature scaling and dimensionality reduction techniques. Six ML algorithms will be tuned and evaluated. Bayesian optimisation will be used for hyperparameter selection. …”
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Estimating soil profile salinity under vegetation cover based on UAV multi-source remote sensing by Zhenhai Luo, Meihua Deng, Min Tang, Rui Liu, Shaoyuan Feng, Chao Zhang, Zhen Zheng

“…In addition, four machine learning algorithms coupled with seven variable combination groups were applied to establish comprehensively soil salinity estimation models. …”
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Urban Economic Structures as Multidimensional Networks: A Complex Systems Framework for Analyzing Economic Development Trajectories by Shade T. Shutters

“…The network locations of individual cities are contrasted, and community detection algorithms are used to identify clusters of highly connected economic entities, showing that the densely connected network core is associated with science, technology, and business-related economic entities. …”
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Capturing spatiotemporal variation in salt marsh belowground biomass, a key resilience metric, through geoinformatics by Kyle D. Runion, Deepak R. Mishra, Merryl Alber, Mark A. Lever, Jessica L. O'Connell

“…We used the BERM machine learning algorithms to evaluate how variables relating to biological, climatic, hydrologic, and physical attributes covaried with these BGB observations. …”
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Establishment of a Risk Prediction Model for Pulmonary Infection in Patients with Advanced Cancer by Liangliang Yang, Xiaolong Xu, Qingquan Liu

“…The presence of concurrent pulmonary infection was recorded and defined as the primary outcome variable. Stepwise forward algorithms were applied to informative predictors based on Akaike’s information criterion. …”
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QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking by Yusaku Hayamizu, Koki Goto, Masaki Bandai, Miki Yamamoto

“…Adaptive Bitrate (ABR) algorithms used in MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) can be applied to video streaming over Information-Centric Networks (ICNs). …”
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A Study of the AR Solutions Used in the Dangerous Goods Acceptance Process in Airport Cargo Warehouses by Anna Jodejko-Pietruczuk, Agnieszka A. Tubis, Franciszek J. Restel

“…Results: There has been a model of the DGA process has been developed in the paper as well as decision algorithms, helping operators controlling DGs before a flight, have been identified. …”
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Digitalization of Spectral Measurements in the Fourier Basis – Development Trends and Problems by O. V. Ponomareva, A. V. Ponomarev, N. V. Smirnova

“…To combat the negative effects of digitalization of spectral measurements, a generalization of the DFT in the form of a parametric DFT (DFT-P) (Parametric Discrete Fourier Transform – DFT-P) is proposed.The main scientific and applied problems of computerization of signal spectrum measurements are formulated: the development of the theory of digital methods for measuring signal spectra, the creation of new and improvement of existing digital methods for measuring signal spectra, the development of algorithmic, software and metrological software for PRIS and VI for the implementation of DFT-P.…”
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