Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

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Time flies when you're having flow: An experiment on time perception and challenge in a VR gameOSF by Jeroen S. Lemmens, Fay E. Clark, Xingjia Lyu, Alex Taylor

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A Novel GA-based Approach to Automatically Generate ConvLSTM Architectures for Human Activity Recognition by Sarah Khater, Magda B. Fayek, Mayada Hadhoud

“…Human activity recognition (HAR) is a challenging computer vision problem that requires recognizing and categorizing human actions using spatiotemporal data. …”
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NaCTR: Natural product-derived compound-based drug discovery pipeline from traditional oriental medicine by search space reduction by Seunghwan Jung, Kwansoo Kim, Seunghyun Wang, Manyoung Han, Doheon Lee

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Numerical dispersed flow simulation of fire-flake particle dynamics and its learning representation by Jong-Hyun Kim, Jung Lee

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Modeling omics dose-response at the pathway level with DoseRider by Pablo Monfort-Lanzas, Johanna M. Gostner, Hubert Hackl

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Using transformers and Bi-LSTM with sentence embeddings for prediction of openness human personality trait by Anam Naz, Hikmat Ullah Khan, Tariq Alsahfi, Mousa Alhajlah, Bader Alshemaimri, Ali Daud

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Embedded Parallelism Enabling Ultralow-Power Zigbee Voice Communications by A. Meliones, E. Touloupis, J. Perello

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SLFCNet: an ultra-lightweight and efficient strawberry feature classification network by Wenchao Xu, Yangxu Wang, Jiahao Yang

“…Nevertheless, existing object detection methods struggle with substantial computational demands, high resource utilization, and reduced detection efficiency. …”
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Mining autonomous student patterns score on LMS within online higher education by Ricardo Ordoñez-Avila, Jaime Meza, Sebastian Ventura

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A Method for Run-Time Prediction of On-Chip Thermal Conditions in Dynamically Reconfigurable SOPCs by Dimple Sharma, Lev Kirischian

“…RTSA assumes the tasks to have multiple implementation variants, called Application Specific Processing (ASP) circuit variants, which vary in hardware resources, operating frequency, and power consumption. …”
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Optimizing colorectal cancer segmentation with MobileViT-UNet and multi-criteria decision analysis by Barun Barua, Genevieve Chyrmang, Kangkana Bora, Manob Jyoti Saikia

“…Manual examination methods are subjective, leading to inconsistent interpretations among different examiners and compromising reliability. Additionally, process is time-consuming and labor-intensive, necessitating the development of computer-aided diagnostic systems. …”
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Innovative Sentiment Analysis and Prediction of Stock Price Using FinBERT, GPT-4 and Logistic Regression: A Data-Driven Approach by Olamilekan Shobayo, Sidikat Adeyemi-Longe, Olusogo Popoola, Bayode Ogunleye

“…Results indicate that Logistic Regression outperformed the more computationally intensive FinBERT and predefined approach of versatile GPT-4, with an accuracy of 81.83% and a ROC AUC of 89.76%. …”
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Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

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Annotation of biological samples data to standard ontologies with support from large language models by Andrea Riquelme-García, Juan Mulero-Hernández, Jesualdo Tomás Fernández-Breis

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Multifeature fusion for claim scope-aware litigation risk prediction for patent drafts by Chitrakala Sakthivel, Jinesh Jose

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No-Code Edge Artificial Intelligence Frameworks Comparison Using a Multi-Sensor Predictive Maintenance Dataset by Juan M. Montes-Sánchez, Plácido Fernández-Cuevas, Francisco Luna-Perejón, Saturnino Vicente-Diaz, Ángel Jiménez-Fernández

“…Edge Computing (EC) is one of the proposed solutions to address the problems that the industry is facing when implementing Predictive Maintenance (PdM) implementations that can benefit from Edge Artificial Intelligence (Edge AI) systems. …”
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Prediction of COD Degradation in Fenton Oxidation Treatment of Kitchen Anaerobic Wastewater Based on IPSO-BP Neural Network by Tianpeng Zhang, Pengfei Ji, Dayong Tian, Rui Xu

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Graph neural networks embedded with domain knowledge for cyber threat intelligence entity and relationship mining by Gan Liu, Kai Lu, Saiqi Pi

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Joint classification and regression with deep multi task learning model using conventional based patch extraction for brain disease diagnosis by Padmapriya K., Ezhumalai Periyathambi

“…Magnetic resonance imaging (MRI) is increasingly used in clinical score prediction and computer-aided brain disease (BD) diagnosis due to its outstanding correlation. …”
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