SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

“…To address this issue, we proposed a deep learning method, SPA-Net, for achieving tree instance segmentation of forest point clouds. …”
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Active Contours Connected Component Analysis Segmentation Method of Cancerous Lesions in Unsupervised Breast Histology Images by Vincent Majanga, Ernest Mnkandla, Zenghui Wang, Donatien Koulla Moulla

“…Automatic segmentation of nuclei on breast cancer histology images is a basic and important step for diagnosis in a computer-aided diagnostic approach and helps pathologists discover cancer early. …”
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Plant Stress Detection Using a Three-Dimensional Analysis from a Single RGB Image by Madaín Pérez-Patricio, J. A. de Jesús Osuna-Coutiño, German Ríos-Toledo, Abiel Aguilar-González, J. L. Camas-Anzueto, N. A. Morales-Navarro, J. Renán Velázquez-González, Luis Ángel Cundapí-López

“…Motivated by the latter, we propose a methodology for plant stress detection using 3D reconstruction and deep learning from a single RGB image. For that, our methodology has three steps. …”
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Energy-Efficient Hybrid Adaptive Clustering for Dynamic MANETs by Kudret Yilmaz, Resul Kara, Ferzan Katircioglu

“…This study represents a significant step towards optimizing energy efficiency and extending network lifetime by enhancing the adaptability of clustering processes in MANETs under dynamic network conditions. …”
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RadiomiX for Radiomics Analysis: Automated Approaches to Overcome Challenges in Replicability by Harel Kotler, Luca Bergamin, Fabio Aiolli, Elena Scagliori, Angela Grassi, Giulia Pasello, Alessandra Ferro, Francesca Caumo, Gisella Gennaro

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Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things With Matrix- Valued Neural Coordinated Federated Intelligence by Sarah A. Alzakari, Arindam Sarkar, Mohammad Zubair Khan, Amel Ali Alhussan

“…Despite its benefits, medical data aggregation poses security, ownership, and regulatory compliance challenges. Federated Learning (FL) is a key technique for distributed learning that protects data. …”
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DCS-YOLOv5s: A Lightweight Algorithm for Multi-Target Recognition of Potato Seed Potatoes Based on YOLOv5s by Zhaomei Qiu, Weili Wang, Xin Jin, Fei Wang, Zhitao He, Jiangtao Ji, Shanshan Jin

“…The quality inspection of potato seed tubers is pivotal for their effective segregation and a critical step in the cultivation process of potatoes. Given the dearth of research on intelligent tuber-cutting machinery in China, particularly concerning the identification of bud eyes and defect detection, this study has developed a multi-target recognition approach for potato seed tubers utilizing deep learning techniques. …”
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Novel Snapshot-Based Hyperspectral Conversion for Dermatological Lesion Detection via YOLO Object Detection Models by Nan-Chieh Huang, Arvind Mukundan, Riya Karmakar, Syna Syna, Wen-Yen Chang, Hsiang-Chen Wang

“…These findings indicate that integrating snapshot-based narrowband imaging with deep learning object detection models can improve early diagnosis and has potential applications in broader clinical contexts.…”
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Intracranial volume segmentation for neurodegenerative populations using multicentre FLAIR MRI by Justin DiGregorio, Giordano Arezza, Adam Gibicar, Alan R. Moody, Pascal N. Tyrrell, April Khademi

“…Intracranial volume (ICV) segmentation, also known as brain extraction or skull-stripping, is a critical preprocessing step in analytical pipelines for studying neurodegenerative diseases in magnetic resonance imaging (MRI). …”
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Multi-Modal Fusion of Routine Care Electronic Health Records (EHR): A Scoping Review by Zina Ben-Miled, Jacob A. Shebesh, Jing Su, Paul R. Dexter, Randall W. Grout, Malaz A. Boustani

“…Moreover, in order to adapt to emergent generative learning techniques, the classification of fusion architectures should distinguish fusion from learning and take into consideration that learning can concurrently happen in all three layers of new fusion architectures (i.e., encoding, representation, and decision). …”
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Fully automatic HER2 tissue segmentation for interpretable HER2 scoring by Mathias Öttl, Jana Steenpass, Frauke Wilm, Jingna Qiu, Matthias Rübner, Corinna Lang-Schwarz, Cecilia Taverna, Francesca Tava, Arndt Hartmann, Hanna Huebner, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger

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OKEN: A Supervised Evolutionary Optimizable Dimensionality Reduction Framework for Whole Slide Image Classification by Soroush Oskouei, André Pedersen, Marit Valla, Vibeke Grotnes Dale, Sissel Gyrid Freim Wahl, Mats Dehli Haugum, Thomas Langø, Maria Paula Ramnefjell, Lars Andreas Akslen, Gabriel Kiss, Hanne Sorger

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A neural network-based method for input parameter optimization of edge transport modeling utilizing experimental diagnostics by Y. Luo, S. Xu, Y. Liang, E. Wang, J. Cai, Y. Feng, D. Reiter, A. Knieps, S. Brezinsek, D. Harting, M. Krychowiak, D. Gradic, P. Ren, D. Zhang, Y. Gao, G. Fuchert, A. Pandey, M. Jakubowski, the W7-X Team

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RNA secondary structure prediction by conducting multi-class classifications by Jiyuan Yang, Kengo Sato, Martin Loza, Sung-Joon Park, Kenta Nakai

“…Generating valid predictions of RNA secondary structures is challenging. Several deep learning methods have been developed for predicting RNA secondary structures. …”
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A Survey of Data Stream-Based Intrusion Detection Systems by Rodrigo Sanches Miani, Gustavo Di Giovanni Bernardo, Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria

“…This survey provides an overview of intrusion detection systems (IDS) using data stream machine learning techniques, characterizing the literature approaches according to the classic steps of the data mining task. …”
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Design of a Novel Conditional Noise Predictor for Image Super-Resolution Reconstruction Based on DDPM by Jiyan Zhang, Hua Sun, Haiyang Fan, Yujie Xiong, Jiaqi Zhang

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Evaluating the effectiveness of gamification in physical education: enhancing engagement through play and movement by Turan Çakır, Koldoshev M.K., Salman Asghar, Adil Rajput, Samara M. Ahmed

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NARX Neural Network Derivations of the Outer Boundary Radiation Belt Electron Flux by D. A. Landis, A. A. Saikin, I. Zhelavskaya, A. Y. Drozdov, N. Aseev, Y. Y. Shprits, M. F. Pfitzer, A. G. Smirnov

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A Critical Review of Jes Adolphsen's Problemer i Videnskab: En Erkendelsesteoretisk Begrundelse for Problemorientering (1992) by Andreas Aagaard Nøhr, Rune Gram Hagel Jensen

“…The review proceeds in three steps: First, we consider the book as both a source and resource; second, we show how the book opens a space for students to engage in PBL; and third, we explore how the books incite students to think about problems in relation to society. …”
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Use of Xception Architecture for the Classification of Skin Lesions by Cledmir Tejada, Gustavo Espinoza, Daniel Subauste

“…The study utilizes the TensorFlow framework and the HAM10000 dataset, comprising a vast collection of benign and malignant skin lesion images, for training and evaluating the Xception model. Preprocessing steps, including data splitting, augmentation, and image resizing, are applied to the dataset. …”
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