Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…The approach optimizes data preprocessing by integrating SMOTE for effective data balancing and Pearson’s Correlation Coefficient (PCC) for feature selection. We compared several ML and DL techniques to detect and address the most efficient one for our pipeline. …”
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Multi-Robot Cooperative Simultaneous Localization and Mapping Algorithm Based on Sub-Graph Partitioning by Wan Xu, Yanliang Chen, Shijie Liu, Ao Nie, Rupeng Chen

“…To address the challenges in multi-robot collaborative SLAM, including excessive redundant computations and low processing efficiency in candidate loop closure selection during front-end loop detection, as well as high computational complexity and long iteration times due to global pose optimization in the back-end, this paper introduces several key improvements. …”
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Performance Evaluation of Activation Functions in Deep Residual Networks for Short-Term Load Forecasting by Junchen Liu, Faisul Arif Ahmad, Khairulmizam Samsudin, Fazirulhisyam Hashim, Mohd Zainal Abidin Ab Kadir

“…Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. …”
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Electrochemical Microneedles for Real-Time Monitoring in Interstitial Fluid: Emerging Technologies and Future Directions by Suhyeon Cha, Min Yu Choi, Min Jung Kim, Sang Baek Sim, Izzati Haizan, Jin-Ha Choi

“…Conventional blood-based detection methods for biomarkers and analytes face significant limitations, including complex processing, variability in blood components, and the inability to provide continuous monitoring. …”
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Randomized tensor network reservoir computing: validity and learnability phase transitions by Shinji Sato, Daiki Sasaki, Chih-Chieh Chen, Kodai Shiba, Tomah Sogabe

“…Tensor networks (TNs), with their efficient representation of high-dimensional quantum information and entanglement, are powerful tools for modeling correlated quantum dynamics. …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…This study aims to exploit the high precision and efficiency of deep learning to develop a system for the identification of pollen. …”
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A novel energy management system based on two-level hierarchical economic model predictive control for use in microgrid control by F.J. Vivas, A. Pajares, X. Blasco, J.M. Herrero, F. Segura, J.M. Andújar

“…In this case, it is necessary to determine the optimisation index weights, a complex selection that depends on the specific characteristics of each microgrid. …”
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Exploring the Strategies of Male Sterility for Hybrid Development in Hexaploid Wheat: Prevailing Methods and Potential Approaches by Muhammad Abdullah, Usama Sheraz, Arisha Tul Ain, Bisma Nasir, Sardar Hammad, Sajid Shokat

“…Despite the advancements in sterility systems and molecular tools, an efficient and environmentally stable wheat hybrid production system is still lacking. …”
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Single Mutation in <i>iolT1</i> in <i>ptsG</i>-Deficient <i>Corynebacterium glutamicum</i> Enables Growth Boost in Xylose-Containing Media by Katharina Hofer, Lynn S. Schwardmann, Jung-Won Youn, Volker F. Wendisch, Ralf Takors

“…Efficient co-utilization of glucose and xylose from lignocellulosic biomass remains a critical bottleneck limiting the viability of sustainable biorefineries. …”
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WDRIV-Net: a weighted ensemble transfer learning to improve automatic type stratification of lumbar intervertebral disc bulge, prolapse, and herniation by Ichiro Nakamoto, Hua Chen, Rui Wang, Yan Guo, Wei Chen, Jie Feng, Jianfeng Wu

“…WDRIV-Net can serve as a guide in the initial and efficient type screening of complex degeneration of lumbar intervertebral discs (LID) and assist in the early-stage selection of clinically differentiated treatment options.…”
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Towards the Integration of Additive Manufacturing for Freeform Steel and Glass Façade Construction by Lia Tramontini

“…For the structural node, three different nodes are designed per the design guidelines of selected metal AM methods. The three node prototypes are manufactured, and compared in terms of their fabrication efficiency and material efficiency. …”
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Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging by K. Murugan, SatheeshKumar Palanisamy, N. Sathishkumar, Tagrid Abdullah N. Alshalali

“…Abstract Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. …”
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The Effectiveness of Collaborative Centralized Information Systems in Project Management: A Pilot Demonstration of a Multifunctional Building in Africa by Fábio Oliveira Santos, Nuno Lacerda Lopes

“…However, establishing efficient and flexible methodologies for managing this information remains a significant challenge. …”
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Learn by distance: advice for choosing an effective and inclusive e- Learning platform by Dario Ianes, Leonardo Venturoso

“…However, these technologies were often completely new to users and their parents, who had to quickly adapt to the situation by learning how to handle them, not always in the most efficient way. Moreover, many families were not technologically and economically prepared for this situation due to inadequate internet connection, equipment and related tools (Beaunoyer E. 2020, Van Lancker, W. 2020). …”
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An AI‐Enabled Data Processing Pipeline for Ingesting Borehole Data in Peridotite Environments by John M. Aiken, Elliot Dufornet, Hamed Amiri, Lotta Ternieten, Oliver Plümper

“…The study focuses on the alteration of peridotite core segments taken from Borehole BA1B, utilizing a gradient‐boosted trees (CatBoost) regression model trained on an integrated data set of machine‐learning segmented core images, physical measurements, geological, lithographic data, and AI‐summarized expert texts and feature selection. This paper aims to establish a repeatable and efficient pattern for processing such multifaceted data from the well. …”
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Achieving impactful treatment for paediatric endocrine disorders in low- to middle-income countries (LMICs): a scoping review by Carrie Dolan, Hannah Elise Olson

“…Despite the increasing prevalence of endocrine disorders, especially in low- to middle-income countries (LMICs), limited research offers comprehensive guidance on treating this complex medical field. This scoping review aims to provide evidence-based recommendations for efficient, effective and accessible treatment of paediatric thyroid conditions and diabetes in LMICs.Design Scoping review guidelines outlined by the Preferred Reporting Items for Systematic and Meta-Analysis Extension for Scoping Reviews, using the Joanna Briggs Institute (JBI) methodology to analyse healthcare administration approaches in LMICs.Data sources PubMed, Google Scholar, MEDLINE, EconLit, Science Direct and Scopus were searched using a set of search terms from 19 December 2023 to 16 January 2024. …”
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Radiofrequency Technologies of Local Positioning in Healthcare by D. S. Bragin, I. V. Pospelova, I. V. Cherepanova, V. N. Serebryakova

“…Given this, it is necessary to use complex algorithms to detect an object with accuracy to a specific room. …”
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Online Resource Allocation and Trajectory Optimization of STAR–RIS–Assisted UAV–MEC System by Xi Hu, Hongchao Zhao, Wujie Zhang, Dongyang He

“…For this reason, we study a novel simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR–RIS)–assisted UAV–mobile edge computing (UAV–MEC) network, which can serve multiple users residing in the transmission area and reflection area, and switch between reflection and transmission modes according to the relative positions of the UAV, GUs, and STAR–RIS, providing users with more flexible and efficient services. The system comprehensively considers user transmit power, time slot allocation, UAV flight trajectory, STAR–RIS mode selection, and phase angle matrix, achieving long–term energy consumpution minimization while ensuring stable task backlog queue. …”
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Estimating canopy height in tropical forests: Integrating airborne LiDAR and multi-spectral optical data with machine learning by Brianna J. Pickstone, Hugh A. Graham, Andrew M. Cunliffe

“…We suggest using RF due to its ease in model building, computational time, and efficient feature selection for predicting canopy height. …”
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10 MW FOWT Semi-Submersible Multi-Objective Optimization: A Comparative Study of PSO, SA, and ACO by Souleymane Drabo, Siqi Lai, Hongwei Liu, Xiangheng Feng

“…Each algorithm’s convergence was meticulously evaluated, leading to the selection of the optimal design solution. The results evaluated in simulations elucidate the strengths and limitations of each optimization method, providing valuable insights into their efficacy for complex engineering design challenges. …”
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