Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification by Fadi Alharbi, Aleksandar Vakanski, Boyu Zhang, Murtada K. Elbashir, Mohanad Mohammed

“…Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and attention-based architectures have demonstrated promising results for cancer classification due to their ability to model complex relationships among biological entities. …”
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GlassBoost: A Lightweight and Explainable Classification Framework for Tabular Datasets by Ehsan Namjoo, Alison N. O’Connor, Jim Buckley, Conor Ryan

“…The proposed method, <i>GlassBoost</i>, first trains an XGBoost model on a given dataset and then computes gain scores, quantifying the average improvement in the model’s loss function contributed by each feature during tree splits. …”
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Optimizing Group Activity Recognition With Actor Relation Graphs and GCN-LSTM Architectures by M. R. Tejonidhi, C. V. Aravinda, S. V. Aruna Kumar, C. K. Madhu, A. M. Vinod

“…The challenge of understanding and recognizing group activities through human behavior and interactions is a prominent issue in the realm of computer vision research. This area boasts a wide range of applications, including security surveillance, healthcare monitoring, and human-computer interaction systems. …”
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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

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Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds by Mingyu Wang, Yueming Wang, Yuxiao Yang

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Zone adaptive fuel mapping for high resolution wildfire spread forecasting by Paula Sánchez, Irene González, Carlos Carrillo, Ana Cortés, Remo Suppi, Tomàs Margalef

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SkinIncept: an ensemble transfer learning-based approach for multiclass skin disease classification using InceptionV3 and InceptionResNetV2 by Md. Hasan Imam Bijoy, Md. Mahbubur Rahman, Abdus Sattar, Aminul Haque, Mohammad Shamsul Arefin, Pranab Kumar Dhar, Tetsuya Shimamura

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LCUT-Sv9: UAV-Assisted Powerline Inspection Framework with Secure Time-Sensitive Communication for Industry 5.0 by Arun Kumar Sangaiah, Jayakrishnan Anandakrishnan, Nguyen Khanh Son, Hendri Darmawan, Gui-Bin Bian, Mohammed J. F. Alenazi

“…However it is currently facing several critical challenges include handling massive data generated from onboard sensor, the limited computational capabilities, and ensuring secure communication over open wireless channels. …”
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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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AI-Driven Boost in Detection Accuracy for Agricultural Fire Monitoring by Akmalbek Abdusalomov, Sabina Umirzakova, Komil Tashev, Jasur Sevinov, Zavqiddin Temirov, Bahodir Muminov, Abror Buriboev, Lola Safarova Ulmasovna, Cheolwon Lee

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Modeling and Experimental Study of The Vibration Effects in Urban Free-Space Optical Communication Systems by Wenqi Cai, Ibrahima N'Doye, Boon S. Ooi, Mohamed-Slim Alouini, Taous Meriem Laleg-Kirati

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Targeting SLC4A4: A Novel Approach in Colorectal Cancer Drug Repurposing by Krunal Pawar, Pramodkumar P. Gupta, Pooran Singh Solanki, Ravi Ranjan Kumar Niraj, Shanker L. Kothari

“…A model of the human SLC4A4 structure was generated based on CryoEM data (PDB ID 6CAA), and drug candidates from the DrugBank database were evaluated using two computational tools (DrugRep and CB-DOCK2). …”
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Analysis of follow-up data in large biobank cohorts: a review of methodology by Anastassia Kolde, Anastassia Kolde, Merli Koitmäe, Merli Koitmäe, Meelis Käärik, Märt Möls, Krista Fischer, Krista Fischer

“…In addition, to alleviate the computational burden typical in large-scale data, we propose and evaluate a two-step martingale residual (MR) approach for high-dimensional CPH modeling. …”
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Overview of imaging methods used in the diagnosis of stable coronary artery disease by I. V. Tarasova, A. L. Vertkin, V. A. Kozhushkov, I. A. Kozhushkov, N. E. Chebotar, E. A. Geydarova

“…The growing availability of software analysis makes computed tomographic angiography of the heart a universal imaging method capable of determining the anatomical and functional significance of stenotic lesions of the coronary arteries, identifying signs of intra- and pericoronary inflammation, and evaluating non-coronary structures. …”
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C²SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction by Di Wu, Yi Shi, Ziyu Wang, Jie Yang, Mohamad Sawan

“…However, the transmission of a large volume of electrophysiological signals between sensors and processing apparatuses and the related computation become two major bottlenecks for seizure prediction systems due to the constrained bandwidth and limited computational resources, especially for power-critical wearable and implantable medical devices. …”
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A Resource-Efficient Time-Domain-Based Algorithm to Estimate Respiration Rate From Single-Lead ECG Signal by G. B. Krishnapriya, R. N. Ponnalagu, Sanket Goel

“…This study introduces a novel, computationally efficient time-domain (TD) algorithm for accurate breath rate (BR) estimation from single-lead ECG signals, designed for wearable devices. …”
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Expert-assisted statistical learning techniques for assessing wetland conditions in urban landscapes by Kevin J. Erratt, Sassan Mohammady, Tracy S. Lee, Vanessa Carney, Kenneth Sanderson, Caroline L. Lesage, Felix C. Nwaishi, Irena F. Creed

“…We then examined whether the ACI could be transitioned from field- and computer-based indicators to fully computer-based indicators using the hybrid method of selecting indicators. …”
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Rice Disease Detection: TLI-YOLO Innovative Approach for Enhanced Detection and Mobile Compatibility by Zhuqi Li, Wangyu Wu, Bingcai Wei, Hao Li, Jingbo Zhan, Songtao Deng, Jian Wang

“…Third, this study is the first to introduce the iRMB attention mechanism, which effectively integrates Inverted Residual Blocks and Transformers, and introduces deep separable convolution to maintain the spatial integrity of features, thus improving the efficiency of computational resources on mobile platforms. Finally, this study adopted the WIoUv3 loss function and added a dynamic non-monotonic aggregation mechanism to the standard IoU calculation to more accurately evaluate and penalize the difference between the predicted and actual bounding boxes, thus improving the robustness and generalization ability of the model. …”
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Optimal location and size of electric vehicle charging and discharging stations in distribution networks with integrated distributed generations by Minh Thien Vo, Thi Lan Anh Tran, Quang Ai Nguyen, Trung Khanh Tran, Ngoc Dieu Vo

“…The solution results are simulated on a 33-node IEEE standard distribution network using Matlab software and compared with the original FA algorithm to evaluate and propose computational solutions to develop the EVCS system infrastructure in practice. …”
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Interior volume of the charged BTZ black holes by Suraj Maurya, Sashideep Gutti, Rahul Nigam

“…This steady-state radius rss plays a crucial role in defining and evaluating the interior volume of a black hole. In this article, we investigate various methods to compute the maximal interior volume of a charged BTZ black hole. …”
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