Occlusion-Robust Multi-Target Tracking and Segmentation Framework with Mask Enhancement by Hao Sheng, Defa Zhang, Dazhi Yang, Da Yang, Xi Liu, Wei Ke

“…Multi-object tracking stands as one of the most prominent domains in Computer Vision and has significant research value and practical importance. However, due to the complexity of scenarios in the real world, especially in crowded environments with frequent target occlusion, existing MOT frameworks often struggle to achieve precise tracking results. …”
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MSIMRS: Multi-Scale Superpixel Segmentation Integrating Multi-Source Remote Sensing Data for Lithology Identification in Semi-Arid Area by Jiaxin Lu, Liangzhi Li, Junfeng Wang, Ling Han, Zhaode Xia, Hongjie He, Zongfan Bai

“…In addition, pixel-level K-Nearest Neighbor (KNN), Random Forest (RF) and SVM classification algorithms, as well as deep-learning models including Resnet50 (Res50), Efficientnet_B8 (Effi_B8), and Vision Transformer (ViT) were chosen for a comparative analysis. …”
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Machine Learning‐Enabled Drug‐Induced Toxicity Prediction by Changsen Bai, Lianlian Wu, Ruijiang Li, Yang Cao, Song He, Xiaochen Bo

“…The diverse data sources also pose challenges for researchers focusing on specific toxicity studies. In this review, 10 categories of drug‐induced toxicity is examined, summarizing the characteristics and applicable ML models, including both predictive and interpretable algorithms, striking a balance between breadth and depth. …”
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Cancer staging diagnosis based on transcriptomics and variational autoencoder by LI Jiarui, QIAN Li, SHEN Junjie

“…Subsequently, the performance efficiency of our IFRSVAE model was evaluated in conjunction with Random Forest (RF), Support Vector Machine(SVM), and eXtreme Gradient Boosting (XGboost), and it was also compared with other methods. Results‍　‍Our research extracted 21 features for the ensuing classification. …”
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Smart Maritime Transportation-Oriented Ship-Speed Prediction Modeling Using Generative Adversarial Networks and Long Short-Term Memory by Xinqiang Chen, Peishi Wu, Yajie Zhang, Xiaomeng Wang, Jiangfeng Xian, Han Zhang

“…Ship-speed prediction is an emerging research area in marine traffic safety and other related fields, occupying an important position with respect to these areas. …”
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Mathematical approach for rapid determination of pull-in displacement in MEMS devices by Yongcun Shao, Yutong Cui

“…Limitations include the need for modifying the pull-in criterion when variational formulation is unattainable and the exclusion of environmental factors like temperature and pressure fluctuations. Future research should focus on refining MEMS models to incorporate these factors and integrating the approach with techniques such as Galerkin technology.ConclusionThis research advances the mathematical understanding of MEMS device behavior and holds substantial potential for the design and optimization of MEMS devices across various applications, further driving the progression of MEMS technology.…”
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Determination of lithium concentration in black mass using laser-induced breakdown spectroscopy hand-held instrumentation by Elisa Galli, Mattia Massa, Alessandra Zanoletti, Silvana De Iuliis, Elza Bontempi, Laura Eleonora Depero, Vincenzo Palleschi, Laura Borgese

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Investigation of the ecology of winter plankton of Lake Baikal using complex instrumental methods by E. Yu. Naumova, T. P. Rzhepka, M. M. Makarov, A. S. Olshukov, K. M. Kucher, M. Z. Magomedova, E. S. Troitskaya

“…The obtained field data will make it possible to further improve the pattern recognition algorithm in the software of the holographic installation for the specific conditions of Lake Baikal. …”
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Spectrophotometric method development and validation for simultaneous quantification of Cefoperazone and Sulbactum sodium in bulk and marketed formulation: greenness profile evalua... by Nitin Kumar, Praveen Kumar Kusuma, Bhukya Vijay Nayak, Durga Prasad Beda

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MEFA-Net: Multilevel Feature Extraction and Fusion Attention Network for Infrared Small-Target Detection by Jingcui Ma, Nian Pan, Dengyu Yin, Di Wang, Jin Zhou

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Automated Detection and Classification of Sleep Spindles using Machine Learning and Signal Processing Techniques by Sindhu Faiza, Rehman Hafiz Zia Ur, Khan Zeashan, Moshayedi Ata Jahangir

“…Cross-validation and precision, recall, and F1 scores helped identify the best classification algorithm. This research can be integrated with the wearable technology for real-time monitoring and intervention to the next level, providing important insights into sleep spindle classification and analysis.…”
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Predicting Prognosis of Early-Stage Mycosis Fungoides with Utilization of Machine Learning by Banu İsmail Mendi, Hatice Şanlı, Mert Akın Insel, Beliz Bayındır Aydemir, Mehmet Fatih Atak

“…This study aimed to compare the predictive capabilities of various machine learning (ML) algorithms in predicting progression, treatment response, and relapse and to assess their predictive power against that of the Cox proportional hazards (CPH) model in patients with early-stage MF. …”
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Carbon Policies and Liner Speed Optimization: Comparisons of Carbon Trading and Carbon Tax Combined with the European Union Emissions Trading Scheme by Ming Sun, Midakpe P. Vortia, Guangnian Xiao, Jing Yang

“…With the use of advanced optimization methods, such as the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) and the Technique for Order of Preference by Similarity to an Ideal Solution (TOPSIS), this research explores the balance between adjusting vessel speeds and minimizing emissions. …”
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Personalized machine learning models for noninvasive hypoglycemia detection in people with type 1 diabetes using a smartwatch: Insights into feature importance during waking and sl... by Yasmine M Mohamed, José Mancera, Andreas Brandenberg, Stefan Fischli, Michael M Havranek

“…Machine learning (ML) models were built using a tree-based ensemble algorithm to detect hypoglycemic events registered by CGMS. …”
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An amalgamated load shifting cum curtailing policy with smart charging of PHEV for economic operation of microgrid system by Bishwajit Dey, Srikant Misra, Arnab Pal, Fausto Pedro Garcia Marquez

“…The latter provides incentives to customers for participating and curtailing the load during peak hours. This research aims to implement integrated load shifting and curtailment algorithms inside a microgrid with a low voltage category system to distribute energy resources that are optimally scheduled, hence minimizing overall operating costs. …”
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Adaptive Covariance Matrix for UAV-Based Visual–Inertial Navigation Systems Using Gaussian Formulas by Yangzi Cong, Wenbin Su, Nan Jiang, Wenpeng Zong, Long Li, Yan Xu, Tianhe Xu, Paipai Wu

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FMCW Radar-Aided Navigation for Unmanned Aircraft Approach and Landing in AAM Scenarios: System Requirements and Processing Pipeline by Paolo Veneruso, Luca Manica, Enrico Miccio, Roberto Opromolla, Carlo Tiana, Giacomo Gentile, Giancarmine Fasano

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Analysis of Facial Areas to Identify CHD Risks Based on Facial Textures by Budi Sunarko, Agung Adi Firdaus, Yudha Andriano Rismawan, Anan Nugroho

“…The research involved constructing a machine learning model that extracted texture features from six facial regions of interest (ROIs) using the gray level co-occurrence matrix (GLCM) and employed an artificial neural network (ANN) algorithm. …”
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Analysis and Application of Grey-Markov Chain Model in Tax Forecasting by Huidi Zhang, Yimao Chen

“…The study results of this paper provide a reference for further researches on the analysis and application of Grey-Markov chain model in tax forecasting.…”
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Surface ozone trend variability across the United States and the impact of heat waves (1990–2023) by K.-L. Chang, K.-L. Chang, B. C. McDonald, C. Harkins, C. Harkins, O. R. Cooper

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