A multi-modal graph-based framework for Alzheimer’s disease detection by Najmeh Mashhadi, Razvan Marinescu

“…Abstract We propose a compositional graph-based Machine Learning (ML) framework for Alzheimer’s disease (AD) detection that constructs complex ML predictors from modular components. In our directed computational graph, datasets are represented as nodes $$n_i$$ , and deep learning (DL) models are represented as directed edges $$n_i \rightarrow n_j$$ , allowing us to model complex image-processing pipelines $$n_1 \rightarrow n_2 \rightarrow n_3... …”
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DNS over HTTPS Tunneling Detection System Based on Selected Features via Ant Colony Optimization by Hardi Sabah Talabani, Zrar Khalid Abdul, Hardi Mohammed Mohammed Saleh

“…The optimized feature set contributed significantly to reducing computational costs and processing time across all utilized classifiers. …”
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Lightweight Object Detector Based on Images Captured Using Unmanned Aerial Vehicle by Dike Chen, Jiacheng Sui, Ji Zhang, Hongyuan Wang

“…This study aims to investigate the flight endurance problems that unmanned aerial vehicles (UAVs) face when carrying out filming tasks, the relatively limited computational resources of xmini platforms carried by UAVs, and the need for fast decision making and responses when processing image data in real-time. …”
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Wood Species Recognition Based on Visible and Near-Infrared Spectral Analysis Using Fuzzy Reasoning and Decision-Level Fusion by Peng Zhao, Zhen-Yu Li, Cheng-Kun Wang

“…First, the wood spectral curve—with spectral bands of 376.64–779.84 nm and 950–1650 nm—was processed using the principal component analysis (PCA) dimension reduction algorithm. …”
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Adaptive genetic algorithm based deep feature selector for cancer detection in lung histopathological images by Avigyan Roy, Priyam Saha, Nandita Gautam, Friedhelm Schwenker, Ram Sarkar

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Fake News Detection System using Machine Learning with Recurrent Neural Networks by Kuditat O. Jimoh, Lawrence O. Omotosho, Ibrahim K. Ogundoyin, Olajide Y. Adebayo

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A Lightweight Semantic Segmentation Model for Underwater Images Based on DeepLabv3+ by Chongjing Xiao, Zhiyu Zhou, Yanjun Hu

“…Underwater object image processing is a crucial technology for marine environmental exploration. …”
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Online Machine Learning for Intrusion Detection in Electric Vehicle Charging Systems by Fazliddin Makhmudov, Dusmurod Kilichev, Ulugbek Giyosov, Farkhod Akhmedov

“…In multiclass detection, the system attains 0.9840 accuracy, precision, and recall, with an F1-score of 0.9831 and an average drift event accuracy of 0.96. The system is computationally efficient, processing each instance in just 0.0037 s, making it well-suited for real-time deployment. …”
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Multivariate regression analysis for rapid fatigue prediction in airport rigid pavements by Luca Bianchini Ciampoli, Ruggero Pinto, Andrea Benedetto

“…Due to the high computational times and numerical resources required, FEA analyses are typically averaged on representative sample units, which inhibits the reliability of the assessment procedure. …”
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A Multi-Scale Interpretability-Based PET-CT Tumor Segmentation Method by Dangui Yang, Yetong Wang, Yimeng Ma, Houqun Yang

“…Although traditional image processing techniques have been widely applied in tumor segmentation, they often perform poorly when dealing with tumors that have low contrast, irregular shapes, or varying sizes. …”
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A meta fusion model combining geographic data and twitter sentiment analysis for predicting accident severity by Areeba Naseem Khan, Yaser Ali Shah, Wasiat Khan, Amaad Khalil, Jebran Khan

“…Abstract In recent years, advancements in deep learning and real-time data processing have significantly enhanced traffic management and accident prediction capabilities. …”
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Improving Visual Question Answering by Image Captioning by Xiangjun Shao, Hongsong Dong, Guangsheng Wu

“…Visual Question Answering (VQA) is a challenging task that bridges the computer vision and natural language processing communities. …”
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Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch by Julian Estevez, Gorka Garate, Manuel Grana

“…We describe the elements of a workshop where we provide an academic use-create-modify scaffolding where students work on the Scratch partial coding of the algorithms so they can explore the behavior of the algorithm, gaining understanding of the underlying computational thinking of AI processes. The extent of the impact on the students of this experience is measured through questionnaires filled before and after participation in the workshop. …”
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Failure anticipation scheme in distribution systems based on wave distortions and Montecarlo methods by Rishabh Bhandia, Jose J. Chavez, Miloš Cvetković, Pedro M. García-Vite, Marjan Popov, Peter Palensky

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Selective Feature Sets Based Fake News Detection for COVID-19 to Manage Infodemic by Manideep Narra, Muhammad Umer, Saima Sadiq, Ala' Abdulmajid Eshmawi, Hanen Karamti, Abdullah Mohamed, Imran Ashraf

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Automatic Gender Identification from Text by Vladimir Younkin, Marina Litvak, Irina Rabaev

“…The gender identification of authors in literary texts is a compelling research area at the intersection of computational linguistics and natural language processing, offering insights into historical biases and socio-cultural dynamics while enriching our understanding of literary traditions. …”
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A Systematic Literature Review of Optimization Methods in Skeleton-Based Human Action Recognition by Jen-Li Chung, Lee-Yeng Ong, Meng-Chew Leow

“…Skeleton-based human action recognition (HAR) has become a prevalent topic in the field of computer vision due to its ability to widely use in different applications such as video surveillance, healthcare monitoring, sport analysis, and human computer interaction. …”
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Adaptive Pre-Distortion Compensation for LED Nonlinear Distortion in VLC-OFDM Systems Using Frequency Symbol Spreading by Koichi Seimiya, Ren Oshima, Geonuk Kang, Chang-Jun Ahn

“…This approach reduces computational costs at the transmitter compared to conventional methods requiring high-performance processing. …”
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Adaptive near Real-Time RFI Mitigation Using Karhunen–Loève Transform by Raúl Díez-García, Adriano Camps

“…The main mitigation metrics are computed for the KLT and other commonly used mitigation methods. …”
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A robust study upon fuzzy fractional 2D heat equation via semi-analytical technique by Mamta Kapoor

“…Notably, this approach proves particularly valuable to handle problems where exact analytical solutions are unavailable or computationally difficult to fetch. This work not only provides a robust framework to solve fuzzy fractional PDEs but also offers practical insights for applications in heat transfer, diffusion processes, and other engineering systems involving uncertainty and memory effects. …”
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