A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction by Rajesh Natarajan, Sujatha Krishna, H. L. Gururaj, Francesco Flammini, Badria Sulaiman Alfurhood, C. M. Naveen Kumar

“…We gathered data and a training set that included the Wisconsin diagnostic BC (WDBC) dataset, which contains 569 patients with malignant and beginning cases. …”
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A Co-Evolutionary Genetic Algorithm Approach to Optimizing Deep Learning for Brain Tumor Classification by Abdelmgeid A. Ali, Mohamed T. Hammad, Hassan S. Hassan

“…Experiments conducted on a Kaggle dataset demonstrate that CEGA-EfficientNetB3 achieved the highest accuracy of 99.39%, while CEGA-DenseNet121 attained 99.01%, both without data augmentation. …”
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Genebanks and market participation: evidence from groundnut farmers in Malawi by Martin Paul Jr. Tabe-Ojong, Melinda Smale, Nelissa Jamora, Vania Azevedo

“…Methods Pedigree data obtained through consultations with genebank scientists and breeders were used in combination with a three-wave balanced household-level panel dataset of 447 smallholder farmers in Malawi. Different econometric techniques were used, including a double hurdle model to understand market participation and quantity of groundnuts sold. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…Firstly, we established an up-to-date and high-quality dataset by collecting samples from various sources. …”
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Exploring the mechanism of Schisandra rubriflora in the treatment of polycystic ovary syndrome based on network pharmacology and molecular docking by Zhengyan Dou, Qingxian Li, Jing Zhang, Xin Zhang

“…Differentially expressed genes (DEGs) associated with PCOS were obtained by analyzing GSE54248 dataset. A protein-protein interaction network was constructed, and topological analyses were performed to identify the hub targets and main bioactive components. …”
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A Comparison of Pain between Parkinson’s Disease and Multiple System Atrophy: A Clinical Cross-Sectional Survey by He-Yang You, Lei Wu, Hai-Ting Yang, Chen Yang, Xiao-Ling Ding

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Smart Predictor for Spontaneous Combustion in Cotton Storages Using Wireless Sensor Network and Machine Learning by Umar Farooq Shafi, Waheed Anwar, Imran Sarwar Bajwa, Hina Sattar, Iqra Yaqoob, Aqsa Mahmood, Shabana Ramzan

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Cross-project software defect prediction based on the reduction and hybridization of software metrics by Ahmed Abdu, Zhengjun Zhai, Hakim A. Abdo, Sungon Lee, Mohammed A. Al-masni, Yeong Hyeon Gu, Redhwan Algabri

“…The experimental analysis conducted using nine open-source projects from the PROMISE dataset demonstrates that RH-CPDP surpasses current CPDP methods (TCSBoost, TPTL, DA-KTSVMO, DBN, and 3SW-MSTL) regarding area under the curve (AUC) and F1-measure. …”
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A study of serum YKL-40 and its correlation with traditional biomarkers in rheumatoid arthritis patients by Vinod Narayan, Vasanthi Pallinti, Nalini Ganesan

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The relationship between involutional ectropion and inflammatory disorders of the eyelids and ocular surface: insights from a large-scale national study by Ahmad Mansour, Tomer Kerman, Nir Amitai, Eran Zunz, Soltan Khalaila, Itai Hazan, Erez Tsumi

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Weakly Supervised Nuclei Segmentation with Point-Guided Attention and Self-Supervised Pseudo-Labeling by Yapeng Mo, Lijiang Chen, Lingfeng Zhang, Qi Zhao

“…The experimental results on three public datasets demonstrate that our approach has achieved state-of-the-art performance across multiple metrics. …”
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Bidimensional Increment Entropy for Texture Analysis: Theoretical Validation and Application to Colon Cancer Images by Muqaddas Abid, Muhammad Suzuri Hitam, Rozniza Ali, Hamed Azami, Anne Humeau-Heurtier

“…Experimental validation spans diverse datasets, including the Kylberg dataset for real textures and medical images featuring colon cancer characteristics. …”
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IoT-based automated system for water-related disease prediction by Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

“…Thus, a real-time WBPCB dataset with 17 features and a proposed IoT-based system to collect data are used in this research to address the issue. …”
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Diffusion Maps Clustering for Magnetic Resonance Q-Ball Imaging Segmentation by Demian Wassermann, Maxime Descoteaux, Rachid Deriche

“…Finally, we show results on a real-brain dataset where we segment well-known fiber bundles.…”
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Accessible AI Diagnostics and Lightweight Brain Tumor Detection on Medical Edge Devices by Akmalbek Abdusalomov, Sanjar Mirzakhalilov, Sabina Umirzakova, Abror Shavkatovich Buriboev, Azizjon Meliboev, Bahodir Muminov, Heung Seok Jeon

“…Extensive experiments on the BRATS dataset demonstrate the model robustness across tumor sizes and configurations, with confidence scores consistently exceeding 81%. …”
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Protective Effects of BDNF against C-Reactive Protein-Induced Inflammation in Women by Nicole Noren Hooten, Ngozi Ejiogu, Alan B. Zonderman, Michele K. Evans

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Cayley–Purser secured communication and jackknife correlative classification for COVID patient data analysis by Ramesh Sekaran, Ashok Kumar Munnangi, Manikandan Ramachandran, Mohammad Khishe

“…Experimental evaluation is carried out by Novel Corona Virus 2019 dataset using different metrics like data classification accuracy, data classification time and security level. …”
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Multimodal Zero-Shot Shelf Deformation Detection Based on MEMS Sensors and Images by Hong Yan, Jingjing Fan, Yajun Liu

“…To address the issue of a lack of negative samples in the dataset, the study employs oversampling techniques, including SMOTE, ADASYN, and Borderline-SMOTE, combined with machine learning models such as Random Forest and Gradient Boosting Decision Trees (GBDT). …”
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Machine learning-based prediction of hemodynamic parameters in left coronary artery bifurcation: A CFD approach by Sara Malek, Arshia Eskandari, Mahkame Sharbatdar

“…This study aims to bridge the gap in understanding the influence of stenosis severity and location on hemodynamics in the left coronary artery (LCA) bifurcation by integrating ML algorithms with comprehensive CFD simulations, thereby enhancing non-invasive prediction of complex hemodynamics. An extensive dataset of 6858 synthetic LCA geometries with varying plaque severities and locations was generated for analysis. …”
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Design and Optimization for Straw Treatment Device Using Discrete Element Method (DEM) by Shaochuan Li, Peisong Diao, Xianghao Li, Yongli Zhao, Hongda Zhao

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