Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
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Proactive Data Placement in Heterogeneous Storage Systems via Predictive Multi-Objective Reinforcement Learning by Suchuan Xing, Yihan Wang

“…Existing tiered storage systems predominantly employ reactive policies that respond to observed access patterns, leading to suboptimal performance under dynamic workloads and failing to address multi-objective optimization requirements. …”
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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…The selected data set is pre-processed and feature selection for the optimization for the improvement in accuracy, and automation decision making the framework of the convolution neural network along with the ensemble boosted tree classifier developed is optimized using the jellyfish optimization and Recurrent Neural Network and Long Short-Term Memory (RNN-LSTM) model for the recognition of patterns and numerical vectors in the real-world data after processing of output then it is sent back as the input for the recurrent network to make the decision in the shipbuilding process. …”
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Analyzing the performance of biomedical time-series segmentation with electrophysiology data by Richard Redina, Jakub Hejc, Marina Filipenska, Zdenek Starek

“…We compared a rule-based method, a support vector machine (SVM), fully convolutional semantic neural network (UNet), region proposal network (Faster R-CNN), and recurrent neural network for electrocardiographic signals (DENS-ECG). …”
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Prognostic and immunotherapeutic response prediction in hepatocellular carcinoma: role of non-histone acetylation/deacetylation scoring by Jizhen Li, Sisi Huang, Fangling Yuan, Xunjun Yang, Qipeng Xie

“…Additionally, the response to chemotherapy was evaluated. The TIDE score was also assessed. Results Our analysis showed that HDAC1, HDAC2, and HDAC3 are highly associated with patient prognosis and are centrally located in the PPI network. …”
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Altered functional brain connectivity in Dyt1 knock-in mouse models by R. Z. Adury, B. J. Wilkes, P. Girdhar, Y. Li, D. E. Vaillancourt, D. E. Vaillancourt, D. E. Vaillancourt

“…We also hypothesized that EMX mice would exhibit altered functional connectivity and activation patterns, supporting the idea that TorsinA dysfunction in the sensorimotor cortex alone can induce network abnormalities. …”
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Action unit based micro-expression recognition framework for driver emotional state detection by Parul Malik, Jaiteg Singh, Farman Ali, Sukhjit Singh Sehra, Daehan Kwak

“…The proposed method combines a Residual Network (ResNet18) for spatial feature extraction with a Bidirectional Long Short-Term Memory (Bi-LSTM) network for temporal pattern learning. …”
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Cutaneous non-volar melanoma dermoscopy and histopathology correlation: a systematic review protocol by Giuseppe Argenziano, Rita Bouceiro Mendes, Martinha Henrique, Pedro Augusto-Simões

“…Outcomes of interest include the association of at least one of the melanoma dermoscopy features (irregular pigmentation, blue-white veil, atypical network, multicomponent pattern, atypical dots and/or globules, regression, peripheral tan structureless area, negative network, shiny white structures, atypical vessels and streaks/pseudopods), with melanoma Breslow index or other histopathology characteristics (melanoma subtype, mitotic index and presence of ulceration). …”
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Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…Graphs are widely used in applications such as social network analysis, bioinformatics, and recommendation systems to represent relationships and complex dependencies. …”
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Tunable Energy-Efficient Approximate Circuits for Self-Powered AI and Autonomous Edge Computing Systems by Shubham Garg, Kanika Monga, Nitin Chaturvedi, S. Gurunarayanan

“…Additionally, recent advancements in Deep Neural Network (DNN) running on millions of devices for various AI tasks deliver an accuracy comparable to human levels. …”
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Genome-Wide Methylation Sequencing to Identify DNA Methylation Markers for Early-stage Hepatocellular Carcinoma in Liver and Blood by Siyu Fu, Ruben G. Boers, Joachim B. Boers, Pam E. van der Meeren, Jean Helmijr, Vanja de Weerd, Michail Doukas, Maurice Jansen, Bettina E. Hansen, Roeland F. de Wilde, Dave Sprengers, Joost Gribnau, Saskia M. Wilting, José D. Debes, Andre Boonstra

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Forecasting Short- and Long-Term Wind Speed in Limpopo Province Using Machine Learning and Extreme Value Theory by Kgothatso Makubyane, Daniel Maposa

“…This highlights CNN’s superior ability to capture complex patterns in wind speed dynamics over time. Concurrently, the analysis of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>E</mi><mi>V</mi><msub><mi>D</mi><mi>r</mi></msub></mrow></semantics></math></inline-formula> across various order statistics identified <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>G</mi><mi>E</mi><mi>V</mi><msub><mi>D</mi><mrow><mi>r</mi><mo>=</mo><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> as the optimal model, supported by its favourable evaluation metrics in terms of Akaike information criteria (AIC) and Bayesian information criteria (BIC). …”
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Activation-Guided Low-Rank Parameter Adaptation for Efficient Model Fine-Tuning by Qingchen Wang, Shengyu Shen

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Methods and reliability study of moral education assessment in universities: A machine learning-based approach by Ting Jin

“…This analysis utilizes Principal Component Analysis (PCA) alongside the k-Nearest Neighbor (k-NN) method, Support Vector Regression (SVR), and Artificial Neural Networks (ANN) to study student performance indices, enabling the prediction of ethical reasoning capabilities for standardized evaluation. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

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Predicting Excavation-Induced Tunnel Response by Process-Based Modelling by Linlong Mu, Jianhong Lin, Zhenhao Shi, Xingyu Kang

“…This paper proposes an initiative to solve this problem by using process-based modelling, where information generated from the interaction processes between soils, structures, and excavation activities is utilized to gradually reduce uncertainty related to soil properties and to learn the interaction patterns through machine learning techniques. To illustrate such a concept, this paper presents a simple process-based model consisting of artificial neural network (ANN) module, inverse modelling module, and mechanistic module. …”
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Association Mining for Operation and Maintenance Safety Risks of EMUs Based on Unstructured Event Data by Haixing Wang, Longtao Guo, Hong Yin, Yuefeng Huang, Shimeng Li

“…Constructing appropriate safety feature quantities by fully and effectively utilizing this data is a prerequisite for establishing a safety prevention and control network for EMUs. This paper proposes a model that matches risks in the operation and maintenance safety of EMUs with associated unsafe events, utilizing regular expression and pattern-matching technologies. …”
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Spatial-temporal baseline study of nutrients and trace elements characterization of a large tropical transition system in West Africa by Celso Paulo, João A. Carreiras, Susanne Tanner, Carmen Van-Dúnem dos Santos, Vanessa F. Fonseca, Bernardo Duarte

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Geospatial measurement of urban sprawl and land transformation using multi-temporal datasets: A case study of Sonipat-Kundli urban agglomeration by Preeti Verma, Ravinder Jangra, S.P. Kaushik

“…Following India’s economic liberalization, rapid economic growth is driving urban sprawl in mid-sized cities, altering land use patterns from the core to the periphery of the city. …”
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Primary sclerosing cholangitis–inflammatory bowel disease: Epidemiology, mortality, and impact of diagnostic sequence by Kristel K. Leung, Wenbin Li, Bettina Hansen, Aliya Gulamhusein, Lauren Lapointe-Shaw, Abdel Aziz Shaheen, Amanda Ricciuto, Eric I. Benchimol, Jennifer A. Flemming, Gideon M. Hirschfield

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