OCT-based diagnosis of glaucoma and glaucoma stages using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Michael Kalloniatis, Erik Meijering

“…Leveraging SHapley Additive exPlanations (SHAP)-based global feature ranking and partial dependency analysis (PDA) estimated decision boundary cut-offs on machine learning (ML) models, a novel algorithm was developed to implement an XAI tool. Using the selected features, ML models produce an AUC of 0.96 (95% CI: 0.95–0.98), 0.98 (95% CI: 0.96–1.00) and 1.00 (95% CI: 1.00–1.00) respectively on differentiating early, moderate and advanced glaucoma patients. …”
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Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons by Yang Wang, Danni Wang, Liting Zhong, Yi Zhou, Qing Wang, Wufan Chen, Li Qi

“…By picking up the PRB signal using a graph-based dynamic programing algorithm, we formulate a linear inverse model for pixel-wise SOS reconstruction and solve it with iterative optimization technique. …”
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Species Distribution Model and Conservation of Mentaok (Wrightia javanica) in Indonesia by Sutomo, Nida Humaida, Luthfi Wahab, Muhammad Hadi Saputra, Fitri Kurniawati, Muhammad Bima Atmaja, Eko Pujiono, Jalma Giring Sukmawati, Aditya Hani, Rajif Iryadi, Wieke Herningtyas, Reni Setyo Wahyuningtyas

“…The methodology used involved collecting occurrence and environmental data of W. javanica, conducting species distribution modeling using the maximum entropy algorithm, evaluating the model's accuracy, and performing an independent assessment of the area of occupancy (AOO) and extensive occurrence (EOO) using the geospatial conservation assessment tool (GeoCAT). …”
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Cross-Shaped Heat Tensor Network for Morphometric Analysis Using Zebrafish Larvae Feature Keypoints by Xin Chai, Tan Sun, Zhaoxin Li, Yanqi Zhang, Qixin Sun, Ning Zhang, Jing Qiu, Xiujuan Chai

“…Moreover, we compiled a dataset of 4389 bright-field micrographs of zebrafish larvae at 120 h post-fertilization for the model training and algorithm evaluation of zebrafish phenotypic traits. …”
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Optimization of Reasonable Finished State for Cable-Stayed Bridge with Steel Box Girder Based on Multiplier Path Following Method by Jiapeng Shi, Yu Tao, Qingyun Xu, Jie Dai, Jin Di, Fengjiang Qin

“…The multiplier path following optimization algorithm is computationally efficient, exhibiting good convergence and insensitivity to the problem size. …”
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Dynamics of Land Use, Land Cover Changes and Their Impacts on Land Surface Temperature Using Satellite Imagery by Temesghen E. Sereke, Tumuzghi Tesfay, Vitaly V. Bratkov, Elsayed S. Mohamed, Dinh T. Quyen

“…A supervised vector machine algorithm was used to classify LULC. Overall accuracy and Kappa coefficient were calculated. …”
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Grid-Integrated Dual Wind Turbine System Using SEPIC Converter with Whale Optimized PI Controller by Kishore R.D., Sravani K., Sai Kumar N.D., Preetham C.G., Bentu B.2

“…In order to achieve the set goals, the following tasks were accomplished: integration of a Pulse Width Modulation (PWM) rectifier for AC to DC conversion, implementation of a SEPIC converter for voltage boosting, tuning of proportional integral (PI) controller parameters using whale optimization algorithm (WOA) for dynamic DC voltage regulation, and design of a 3Φ Voltage Source Inverter (VSI) for efficient management of active and reactive power to the grid. …”
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Identifying time patterns in Huntington’s disease trajectories using dynamic time warping-based clustering on multi-modal data by Alexia Giannoula, Audrey E. De Paepe, Ferran Sanz, Laura I. Furlong, Estela Camara

“…Building on an earlier methodology, a new dimension of time-varying clinical and imaging features is incorporated, through an adapted cost-minimization algorithm for clustering on different, possibly overlapping, feature subsets. …”
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Toward improving precision and complexity of transformer-based cost-sensitive learning models for plant disease detection by Manh-Tuan Do, Manh-Hung Ha, Duc-Chinh Nguyen, Oscal Tzyh-Chiang Chen, Oscal Tzyh-Chiang Chen

“…This study introduces an automated system for early disease detection in plants that enhanced a lightweight model based on the robust machine learning algorithm. In particular, we introduced a transformer module, a fusion of the SPP and C3TR modules, to synthesize features in various sizes and handle uneven input image sizes. …”
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Artificial intelligence in dentistry—A review by Hao Ding, Jiamin Wu, Wuyuan Zhao, Jukka P. Matinlinna, Jukka P. Matinlinna, Michael F. Burrow, James K. H. Tsoi

“…Owing to the rapid development of three cornerstones of current AI technology—big data (coming through digital devices), computational power, and AI algorithm—in the past two decades, AI applications have started to provide convenience to people's lives. …”
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Incentivizing Demand-Side Response Through Discount Scheduling Using Hybrid Quantum Optimization by David Bucher, Jonas Nuslein, Corey O'Meara, Ivan Angelov, Benedikt Wimmer, Kumar Ghosh, Giorgio Cortiana, Claudia Linnhoff-Popien

“…Furthermore, we propose a large-scale decomposition algorithm/heuristic for the DSP, applied with either quantum or classical computers running the subroutines, which significantly reduces the problem size while maintaining solution quality. …”
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Mapping hierarchical wetland characteristics by optical-SAR integration with collaborative spatial-spectral-temporal learning by Linwei Yue, Meiyue Wang, Chengpeng Huang, Qing Cheng, Qiangqiang Yuan, Huanfeng Shen

“…For the challenging task of submerged vegetation detection, the producer’s accuracy of HiWet-DBNet is improved by 1.70% to 16.59% compared with the VBI algorithm and state-of-art deep learning-based wetland classification methods.…”
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Nondestructive Detection of Moisture Content in Walnut Kernel by Near-Infrared Diffuse Reflectance Spectroscopy by Dan Peng, Yali Liu, Jiasheng Yang, Yanlan Bi, Jingnan Chen

“…In comparison, the optimized modeling conditions were determined as follows: detection wavelength 1349–1490 nm, SNV-FD (standard normal variate transformation and first derivative) preprocessing method, and PLS algorithm. Under these conditions, the square correlation coefficient (R2) and root mean square error of prediction (RMSEP) of the prediction model were 0.9865 and 0.0017, respectively. …”
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Diagnosis and Treatment of Peptic Ulcer in Adults (Clinical Guidelines of the Russian Gastroenterological Association, Russian Society of Colorectal Surgeons and the Russian Endosc... by V. T. Ivashkin, I. V. Maev, P. V. Tsar’kov, M. P. Korolev, D. N. Andreev, E. K. Baranskaya, S. G. Burkov, A. A. Derinov, S. K. Efetov, T. L. Lapina, P. V. Pavlov, S. S. Pirogov, A. V. Tkachev, A. S. Trukhmanov, E. D. Fedorov, A. A. Sheptulin

“…Clinical recommendations contain criteria for assessing the quality of medical care, an algorithm of the doctor’s actions, as well as information for patients.Conclusions. …”
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Habitat suitability modeling for Posidonia oceanica distribution along a Mediterranean region (NW Italy) by Rachele Bordoni, Chiara Paoli, Monica Montefalcone, Alice Oprandi, Ilaria Rigo, Francesca Ruggeri, Paolo Vassallo

“…To address this need, we developed habitat suitability models (HSMs), built up using the Random Forest algorithm in R software, that assess the suitability of the environment for the presence of P. oceanica in the Ligurian Sea (NW Italy).Model response variables included potential seabed areas characterized by P. oceanica habitats on soft and rocky bottoms, down to 50 m depth. …”
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Forest fire risk assessment model optimized by stochastic average gradient descent by Zexin Fu, Adu Gong, Jinhong Wan, Wanru Ba, Haihan Wang, Jiaming Zhang

“…In this study, a comprehensive method for forest fire risk assessment and prediction is proposed using a back-propagation neural network (BPNN) optimized by the stochastic average gradient descent (SAGD) algorithm. The model is based on the Regional Disaster System Theory (RDST), and incorporates 11 indicators of meteorological, vegetation, and human activity factors from the aspects of hazard-formative factor, hazard-formative environment, and hazard-affected body, and achieves a prediction accuracy of 94.38% and a coefficient of determination of 0.9581 when compared with historical data and the Global Fire Weather Index (FWI). …”
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Population features of prevalence and clinical-diagnostic role of NOD2 gene polymorphisms associated with Crohn’s disease by D. A. Kuznetsova, M. V. Merzlyakov, G. V. Vavin, A. S. Razumov, V. L. Emanue

“…It will allow not only to increase efficacy of early diagnosis and the CD risk prognosis, but to define environmental factors affecting clinical utilization of genetic factors that is a premise for development of pathogenic justified management algorithm encompassing both populationbased and regional factors.…”
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Large Convolution Kernel Network With Edge Self-Attention for Oriented SAR Ship Detection by Yan Feng, Yupeng Zhang, Xiangqing Zhang, Yuning Wang, Shaohui Mei

“…Second, we adopt an edge self-attention mechanism, which uses an edge detection algorithm to extract the gradient matrix of the image and integrate it into the feature pyramid structure to effectively enhance the contour information of ships. …”
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Assessment of energy management and power quality improvement of hydrogen based microgrid system through novel PSO-MWWO technique by Hafiz Ghulam Murtza Qamar, Xiaoqiang Guo, Ehab Seif Ghith, Mehdi Tlija, Abubakar Siddique

“…The achieved results and numerical analysis affirm the superiority of the proposed technique compared to other traditional methods like mixed integer linear programming (MILP), HOMER, Variable mesh optimization (VMO), and Cataclysmic genetic algorithm in optimizing component sizing, renewable production, hydrogen production, reliability, cost effective, and overall efficacy. …”
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Sequential testing with Xpert MTB/RIF assay for diagnosis of tuberculous meningitis in Maharaj Nakorn Chiang Mai University Hospital by Poramed Winichakoon, Kanokwan Watcharasaksilp, Sunisa Butphet, Kanlaya Wongworapat, Chansom Pantip, Phadungkiat Khamnoi, Khuanchai Supparatpinyo, Parichat Salee

“…The Xpert MTB/RIF assay is a rapid and valuable tool for detecting Mycobacterium tuberculosis in centrifuged CSF specimens. A diagnostic algorithm incorporating the TBM score enhances performance, balancing sensitivity and specificity, and could improve patient outcomes in resource-limited settings.…”
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