3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…The proposed model efficiently models global dependencies while maintaining stable training dynamics and efficient inference. …”
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A deep neural network model with spectral correlation function for electrocardiogram classification and diagnosis of atrial fibrillation by Sara Mihandoost

“…The obtained results demonstrate that the proposed approach efficiently represents ECG signals through SCF coefficients, leading to the accurate detection of AF with an average accuracy of 92.76% and an average F1-score of 89.1%.…”
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Recent advancements in nanomaterial-based biosensors for diagnosis of breast cancer: a comprehensive review by Yalda Yazdani, Fereshtehsadat Jalali, Habib Tahmasbi, Mitra Akbari, Neda Talebi, Seyed Abbas Shahrtash, Ahmad Mobed, Mahsa Alem, Farhood Ghazi, Mehdi Dadashpour

“…However, these methods are limited by cost, analysis time, and complexity. Therefore, it is necessary to develop an ultrasensitive, fast, low-cost, simple method for BRCA1 detection. …”
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Insights and Recommendations for the Assessment and Design of Fault Diagnosis Methods Applied to Modern Distribution Systems by Talita M. O. A. Cunha, Gabriela N. Lopes, Leonardo S. Lessa, Moises J. B. B. Davi, Mario Oleskovicz, Jose C. M. Vieira

“…The growing integration of Distributed Generation (DG) and the complexity of modern distribution networks present new challenges in fault diagnosis. …”
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A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…QSVM employs quantum kernels to map data into a higher-dimensional Hilbert space, so that the model can detect complex patterns in MM drug resistance. qPCA reduces dimensionality without loss of important variance, and thus improves computation efficiency. …”
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Autonomous Vehicle Security: Hybrid Threat Modeling Approach by Amal Yousseef, Yu-Zheng Lin, Shalaka Satam, Banafsheh Saber Latibari, Jesus Pacheco, Soheil Salehi, Salim Hariri, Pratik Satam

“…Autonomous vehicles (AVs) are poised to revolutionize modern transportation, offering enhanced safety, efficiency, and convenience. However, AV architectures' increasing connectivity and complexity have introduced significant cybersecurity risks. …”
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Automated Models for Predicting Software Defects in Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) Parallel Programs Using Deep Learning by Amani Saad Althiban, Hajar M. Alharbi, Lama A. Al Khuzayem, Fathy Elbouraey Eassa

“…Hybrid Message Passing Interface (MPI) and Open Multi-Processing (OpenMP) parallel programs are pivotal for scalability and efficiency in high-performance computing (HPC), especially as systems approach exa-scale operations. …”
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EG-VAN: A Global and Local Attention-Based Dual-Branch Ensemble Network With Advanced Color Balancing for Multi-Class Skin Cancer Recognition by Adnan Saeed, Khurram Shehzad, Saim Ahmed, Ahmad Taher Azar

“…Despite their sophistication, existing methods struggle to generalize well across diverse cases, and their computational complexity often limits real-world applicability. To address these challenges, we introduce a novel dual-path architecture in the Efficient Global-Vision Attention-Net (EG-VAN) for early detection of skin cancer. …”
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Token Mixing for Breast Cancer Diagnosis: Pre-Trained MLP-Mixer Models on Mammograms by Hosameldin O. A. Ahmed, Asoke K. Nandi

“…Breast cancer remains a leading cause of mortality among women, necessitating accurate and computationally efficient diagnostic solutions. Deep learning, particularly convolutional neural networks (CNNs), has significantly advanced mammographic analysis by automating feature extraction and improving early detection. …”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…The network models employed in single detection algorithms exhibit complexity and pose challenges for deployment on mobile terminals as they heavily rely on the availability of labeled samples. …”
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Simultaneous Speech and Eating Behavior Recognition Using Data Augmentation and Two-Stage Fine-Tuning by Toshihiro Tsukagoshi, Masafumi Nishida, Masafumi Nishimura

“…The experimental evaluations demonstrate that the proposed method maintains speech recognition accuracy while achieving high detection performance for eating behaviors, with an F1 score of 0.918 for chewing detection and 0.926 for swallowing detection. …”
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Eco-friendly HPTLC method for Trifluridine and Tipiracil determination: Quality-by-design meets green analytical chemistry by Amruta Balekundri, Eknath D. Ahire, Rakesh U. Shelke, Dinesh D. Rishipathak, Sanjay J. Kshirsagar

“…Colorectal cancer (CRC) is a leading cause of cancer-related mortality worldwide, necessitating efficient treatment strategies and accurate analytical methods. …”
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AI-driven healthcare innovations for enhancing clinical services during mass gatherings (Hajj): task force insights and future directions by Ala’a Alquayt, Ohoud Aljuhani, Abdullah F. Alharthi, Rahaf Alqahtani, Anas Khan, Ahmed Al-jedai, Abdulqader Almoeen, Mohammed Alshennawi, Hisham A. Badreldin, Abdulrhman Aljouie, Lubna A. Alnasser, Abdulmajeed M. Alshehri, Mohammed Y. Alzahrani, Haifa A. Alhaidal, Raghad Alhajaji, Salman Alotaibi, Esraa Z. Redhwan, Fahad Alharthi, Badr G. Alghamdi, Khalid Al Sulaiman

“…Abstract Background Due to the high complexity of healthcare during mass gatherings (MG), the integration of Artificial Intelligence (AI) might be crucial. …”
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Federated learning and GWO-enabled consumer-centric healthcare internet of things for pancreatic tumour by Nuha Alruwais, Ghada Moh. Samir Elhessewi, Muhammad Kashif Saeed, Menwa Alshammeri, Othman Alrusaini, Abdulwhab Alkharashi, Samah Al Zanin, Yahia Said

“…In order to get a correct diagnosis and choose the best treatment options before it becomes deadly, early detection and classification of pancreatic tumours are essential. …”
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NDL-Net: A Hybrid Deep Learning Framework for Diagnosing Neonatal Respiratory Distress Syndrome From Chest X-Rays by Malik Muhammad Arslan, Xiaodong Yang, Nan Zhao, Lei Guan, Tao Cui, Daniyal Haider

“…<italic>Results:</italic> The architecture combines MobileNetV3 Large for efficient image processing and ResNet50 for detecting complex patterns essential for NRDS identification. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

“…It addresses the challenges of spatiotemporal feature extraction in complex geographical environments, and the identification of potential wind-blown sand sources in river channels. …”
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Potable water boiling can induce havoc in the water quality management arena due to the presence of microplastics by Renjith VishnuRadhan, Shagnika Das, Camille Hennion, T.I. Eldho, Anil Lonappan

“…Around 30 % of the world’s population lacks access to safe water despite being a critical factor that modulates the complex dynamics of ecosystems and societies. Efficient technologies to purify water to potable form are either inaccessible or economically not viable for the majority. …”
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SGRD: A Ship Group Relationship Description Method Based on Scene Graph Generation With a Global-Local Context Fusion Network by Qianwen Rui, Yanan You, Jingyi Cao, Kaiwen Zhu, Yuanyuan Qiao

“…Consequently, in specific scenes, the concise and efficient description of spatial-temporal relationships between high-value objects (such as vehicles and ships) presents a challenge. …”
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Classification and prediction of rock mass drillability for a tunnel boring machine based on operational data mining by Mingshe Sun, Song Chen, Song Chen, Huafei He, Wenzheng Wang, Kezhi Song, Xuebing Lin

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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…By reducing feature dimensionality without compromising accuracy, the proposed method enhances ICS security, offering a scalable and efficient solution for real-time attack detection.…”
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