Elucidating the electrochemical behavior and reaction pathway of 1,4-Dioxane: An integrated experimental and simulation approach by Milad Torabfam, Huize Xue, Francis Osonga, Omowunmi Sadik

“…For the prediction and enhancement of degradation efficiency, a precise identification of kinetic parameters, reaction conditions, and degradation products, along with an understanding of the mechanisms involved, is required. …”
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Multimodal and Explainable Android Adware Classification Techniques by Momoreoluwa Ayinde, Sheikh Rabiul Islam, Iman Dehzangi, Fahmida Tasnim Lisa

“…With the widespread availability of adware masquerading as useful apps, there is an increasing need for robust security measures to identify adware. The identification of adware as a malware is a challenging task, as it often appears benign despite its malicious intent in the background. …”
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Improving Facial Expression Recognition with a Focal Transformer and Partial Feature Masking Augmentation by Liang-Ying Ke, Chia-Yu Liao, Chih-Hsien Hsia

“…With the advancement of deep learning (DL) and computer vision (CV) technologies, significant progress has been made in facial expression identification FER for real-world applications. However, FER still faces challenges such as occlusion and head pose variations, which make it difficult for FER models to maintain stability and accuracy. …”
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Sistem Informasi Pendataan Atlet Berbasis Web Di Koni Kabupaten Pesisir Selatan by Siti Hasanah, April Zahmi

“…This study aims to design and develop a web-based athlete data management information system to improve efficiency and accuracy in data handling. The development method applied is the Waterfall model, which includes stages of problem identification, data collection, requirements analysis, system design, implementation, and testing. …”
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Object Detection using YOLOv8 : A Systematic Review by Nugraha Asthra Megantara, Ema Utami

“…This study is a Systematic Literature Review (SLR) that comprehensively reviews the recent advances in YOLOv8-based object detection models and their implementations in various application fields, such as UAV aerial photography, fruit ripeness identification, road defect detection, forest fire smoke detection, and medical imaging. …”
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Cost-effective approaches for microplastic pellets characterization using a machine learning tool by V.M. Scarrica, P. Cocozza, G. Anfuso, A. Staiano, G. Bonifazi, A. Rizzo, S. Serranti

“…The approach reduces model complexity while maintaining high classification performance, emphasizing simplicity, speed and efficiency. …”
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Neighbourhood prevalence-to-notification ratios for adult bacteriologically-confirmed tuberculosis reveals hotspots of underdiagnosis in Blantyre, Malawi. by McEwen Khundi, James R Carpenter, Elizabeth L Corbett, Helena R A Feasey, Rebecca Nzawa Soko, Marriott Nliwasa, Hussein Twabi, Lingstone Chiume, Rachael M Burke, Katherine C Horton, Peter J Dodd, Ted Cohen, Peter MacPherson

“…If confirmed, this approach may support more efficient and effective targeting of intensified TB and HIV case-finding interventions aiming to accelerate elimination of urban TB.…”
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MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction by Mostafijur Rahman, Md Sabbir Hossain, Uland Rozario, Satyabrata Roy, M. F. Mridha, Nilanjan Dey

“…Their approach combines advanced techniques, including convolutional neural networks (CNNs) for feature extraction, long short-term memory networks (LSTMs) for temporal patterns, transformer-based attention mechanisms for critical feature identification, and graph neural networks (GNNs) for modeling sensor-machine relationships. …”
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Bayesian Networks Applied to the Maritime Emissions Trading System: A Tool for Decision-Making in European Ports by Javier Vaca-Cabrero, Nicoletta González-Cancelas, Alberto Camarero-Orive, Jorge Quijada-Alarcón

“…Since maritime transport has recently been incorporated into the ETS, it becomes essential to understand how different operational and environmental factors affect the economic burden of shipping companies and port competitiveness. To this end, a model based on Bayesian networks is used to analyse the interdependencies between key variables, facilitating the identification of the most influential factors in the determination of the costs of the ETS. …”
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A near-optimal resource allocation strategy for minimizing the worse-case impact of malicious attacks on cloud networks by Yu-Fang Chen, Frank Yeong-Sung Lin, Kuang-Yen Tai, Chiu-Han Hsiao, Wei-Hsin Wang, Ming-Chi Tsai, Tzu-Lung Sun

“…This approach effectively balances security, cost, and service quality. The model not only enhances defense mechanisms against attacks but also optimizes resource utilization, reducing operational costs by 25% while maintaining high levels of security and improving resource efficiency by 30%. …”
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Robust Resilience Blocks Detection Problem in Dynamic Social Networks by Yuxin Gao, Jianming Zhu, Peikun Ni, Guoqing Wang

“…We develop a non-submodular resilience block identification model to identify these resilient communities. …”
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Rprot-Vec: a deep learning approach for fast protein structure similarity calculation by Yichuan Zhang, Wen Zhang

“…Thus, there is a need for sequence-based methods capable of inferring structural similarity efficiently and at scale. Result We present Rprot-Vec (Rapid Protein Vector), a deep learning model that predicts protein structural similarity and performs homology detection using only primary sequence data. …”
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Damage Recognition of Road Auxiliary Facilities Based on Deep Convolution Network for Segmentation and Image Region Correction by Yuanshuai Dong, Yanhong Zhang, Yun Hou, Xinlong Tong, Qingquan Wu, Zuofeng Zhou, Yuxuan Cao

“…The distance correlation between the boards realizes the identification and positioning of the missing light-shielding board. …”
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ENTREPRENEURIAL MANAGEMENT IN INNOVATIVE PRODUCT AND BUSINESS DEVELOPMENT by G. Laptev

“…The fact is that consumers live in today’s paradigm and, for the most part, are not able to dip beyond the horizon of existing products.The paper proposes an iterative model for the creation of an innovative product at the initial stage, which consists of three phases: identification of opportunities generating and testing product ideas rapid creating and testing the least possible viable product - a product with a minimal permissible set of features sufficient for users to pay for. …”
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A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases. by Panagiotis Barmpoutis, William Waddingham, Jing Yuan, Christopher Ross, Hamzeh Kayhanian, Tania Stathaki, Daniel C Alexander, Marnix Jansen

“…For the analysis of gastric tissues, segmentation of mucosa is performed through an unsupervised model combining energy minimization and a U-Net model. …”
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Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China by Hongguang Yao, Huihui Xiao

“…Through Louvain community detection method, 522 airports in the aviation network were divided into four communities, and the structural characteristics and geographical distribution characteristics of the community network were analyzed. The key node identification model in the community is constructed, the hierarchy of each community network is analyzed using the k-core decomposition method, the core node set of the community network is found, the core boundary node set of four aviation community networks is identified, the core node set and core boundary nodes are analyzed repeatedly, and the key node set of the whole network is obtained. …”
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TWD-DepNet: a deep network enhanced by three-way decisions for EEG-based depression detection by Chunlei Shi, Shouzhu Yan, Wei He, Haiyan Wang

“…Abstract The non-invasive capacity of electroencephalography (EEG) to record cerebral activity has made it a potential technique for depression identification. However, existing deep learning models often struggle with the inherent uncertainty of EEG signals and limited capacity for extracting discriminative spatiotemporal features. …”
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Research on the Development Trend and Graded Early Warning of Large Deformations in Soft Rock Tunnels: Microseismic and Deformation Monitoring by Qiang Wang, Xuzhi Xie, Munan Sun, Ming Zhao, Yuepeng Sun

“…By analyzing various practical engineering cases, the weight of each parameter is assessed using a fuzzy comprehensive evaluation method. The identification model for large deformation tendencies in soft surrounding rock tunnels is constructed through weighted evaluation and the attribute measurement function of each index. …”
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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

“…Conclusions: This study supports the transformative potential of AI, with specific emphasis on the XGBoost model, in extending the precision and efficiency of healthcare insurance claim processing. …”
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A Crossover Adjustment Method Considering the Beam Incident Angle for a Multibeam Bathymetric Survey Based on USV Swarms by Qiang Yuan, Weiming Xu, Shaohua Jin, Tong Sun

“…Secondly, an asymmetric quadratic surface correction model was established by incorporating the BIA as a key parameter. …”
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