Species diversity and catch per unit effort of fish in a perturbed tropical lake, Ibadan, Nigeria by Adedolapo A. Ayoade, Omotolani M. Owolabi, Omolayo T. Patience, Oluwatobi R. Adeduntan, Praise Kujooro

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Comparison of survival outcomes and anatomically specific severe injuries following traffic accidents among occupants of standard and K-car vehicles: A retrospective cohort study a... by Yuko Ono, Tasuku Uzawa, Jun Sugiyama, Nozomi Tomita, Takeyasu Kakamu, Tokiya Ishida, Joji Kotani, Kazuaki Shinohara

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Person Detection for an Orthogonally Placed Monocular Camera by Pavel Skrabanek, Petr Dolezel, Zdenek Nemec, Dominik Stursa

“…For this purpose, we form and make publicly available a large-scale, class-balanced dataset of labelled RGB images. We demonstrate that, compared to ConvNets, the HOG-based passenger recognition is more suitable for practical applications. …”
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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study by Jiao Wang, Jianrong Chen, Ying Liu, Jixiong Xu

“…ConclusionsThis research successfully developed a diabetes risk assessment index tailored for the Japanese population by utilizing an extensive dataset and a wide range of indices. By categorizing the diabetes risk levels among Japanese individuals, this study offers a novel predictive tool for identifying potential patients, while also delivering valuable insights into diabetes prevention strategies for the healthy Japanese populace.…”
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Enhancing Cervical Cancer Classification: Through a Hybrid Deep Learning Approach Integrating DenseNet201 and InceptionV3 by Abhiram Sharma, R. Parvathi

“…The methodology involves rigorous data preprocessing, including normalization, augmentation, and dataset splitting, to ensure robust training and validation. …”
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Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling by Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Soofia Iftikhar, A. H. Abd Ellah, Troon J. Benedict

“…The productivity of the proposed class is also assessed in light of real-life dataset. Lastly, a simulation study is also done to determine the performance of estimators.…”
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Digital twin-centered hybrid data-driven multi-stage deep learning framework for enhanced nuclear reactor power prediction by James Daniell, Kazuma Kobayashi, Ayodeji Alajo, Syed Bahauddin Alam

“…By leveraging a combination of feed-forward neural networks with both classification and regression stages, and training on a unique dataset that integrates real-world measurements of reactor power and controls state from the Missouri University of Science and Technology Reactor (MSTR) with noise-enhanced simulated data, our approach achieves remarkable accuracy (96% classification, 2.3% MAPE). …”
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Phylogenetic relationships and divergence times of Odonata inferred from mitochondrial genome by Weidong Huang, Tianyou Zhao, Mingyuan Fan, Yuange Duan, Li Tian, Hu Li, Wanzhi Cai, Fan Song

“…Here, we assembled the largest mitogenome dataset to date, comprising 143 mitogenomes representing three suborders, 18 families, of which 53 mitogenomes were newly sequenced. …”
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Efficient Implementation of Mahalanobis Distance on Ferroelectric FinFET Crossbar for Outlier Detection by Musaib Rafiq, Yogesh Singh Chauhan, Shubham Sahay

“…The proposed implementation utilizes two crossbar arrays of ferroelectric FinFETs to calculate the Mahalanobis distance and detect outliers in the popular Wisconsin breast cancer dataset using a novel inverter-based threshold circuit. …”
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Nature-derived microneedles with metal-polyphenolic networks encapsulation for chronic soft tissue defects repair: Responding and remodeling the regenerative microenvironment by Chengyang Zhu, Zun Fan, Zhijie Cheng, Jun Yin, Lei Qin, Xin Zhao

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A Patch-Level Data Synthesis Pipeline Enhances Species-Level Crop and Weed Segmentation in Natural Agricultural Scenes by Tang Li, James Burridge, Pieter M. Blok, Wei Guo

“…Building on this, we created hybrid datasets by combining synthetic and real data and investigated the impact of synthetic data volume. …”
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Modified screening and management strategies for chronic rhinosinusitis in hematologic patients receiving hematopoietic stem cell transplantation by Yen-Hui Lee, Chih-Feng Lin, Te-Huei Yeh, Huai-Hsuan Huang, Yi-Tsen Lin

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Wing spot in a tropical and a temperate drosophilid: C = C enrichment and conserved thermal response by Divita Garg, Harshad Vijay Mayekar, Sanjeev Paikra, Monalisa Mishra, Subhash Rajpurohit

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Siamese Neural Networks in Unmanned Aerial Vehicle Target Tracking Process by Athraa Sabeeh Hasan Allak, Jianjun Yi, Haider M. Al-Sabbagh, Liwei Chen

“…The recognition accuracy in the fused dataset is 93.12%, with a loss value of less than 0.01, which is superior to YOLOv3, YOLOv4, and traditional YOLOv5 models. …”
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Enhancing drug discovery and patient care through advanced analytics with the power of NLP and machine learning in pharmaceutical data interpretation by Nagalakshmi R, Surbhi Bhatia Khan, Ananthoju Vijay kumar, Mahesh T R, Mohammad Alojail, Saurabh Raj Sangwan, Mo Saraee

“…This study delves into the transformative potential of Machine Learning (ML) and Natural Language Processing (NLP) within the pharmaceutical industry, spotlighting their significant impact on enhancing medical research methodologies and optimizing healthcare service delivery. Utilizing a vast dataset sourced from a well-established online pharmacy, this research employs sophisticated ML algorithms and cutting-edge NLP techniques to critically analyze medical descriptions and optimize recommendation systems for drug prescriptions and patient care management. …”
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Deteksi Objek Manusia Pada Citra Menggunakan Single Shot Detector (SSD) Berbasis Edge Computing by Muhammad Iqbal, Dwi Marisa Midyanti, Syamsul Bahri

“…Setiap ESP32-CAM akan menjadi publisher dan edge akan menjadi subscriber. Dataset yang digunakan untuk melatih algoritma SSD berjumlah 1050 data. …”
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What Is My Plaza for? Implementing a Machine Learning Strategy for Public Events Prediction in the Urban Square by Jumana Hamdani, Pablo Antuña Molina, Lucía Leva Fuentes, Hesham Shawqy, Gabriella Rossi, David Andrés León

“…We acknowledge that the predictive capability of our model is constrained by a relatively small dataset, comprising 15 real plazas in Madrid augmented digitally to 2025 fictional scenarios through self-organising maps. …”
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RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans by Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang

“…Evaluated on the KiPA dataset, RenalSegNet achieved remarkable performance, with an average dice score of 86.25%, IOU of 76.75%, Recall of 86.69%, Precision of 86.48%, HD of 15.78 mm, and AVD of 0.79 mm. …”
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Descriptive Analysis Regarding Optic Canal Variations: A Study In South Punjab Region Of Pakistan by Ponum Mirani, Ammara Rasheed, Gul Afshan, Nida Rasheed

“…The sample was carefully selected to ensure diverse representation across age groups and genders, contributing to a robust dataset for analysis. Optic canal dimensions were measured using precision callipers and digital devices, encompassing length, width, and height. …”
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Leveraging generative adversarial networks for data augmentation to improve fault detection in wind turbines with imbalanced data by Subhajit Chatterjee, Yung-Cheol Byun

“…Notably, the disparity in dataset sizes among faults and the uneven distribution of fault classes pose a substantial obstacle in the realm of fault detection for wind turbines. …”
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