Proteomic-based biomarker discovery reveals panels of diagnostic biomarkers for early identification of heart failure subtypes by Narainrit Karuna, Claire Tonry, Mark Ledwidge, Nadezhda Glezeva, Joe Gallagher, Ken McDonald, Chris J. Watson

“…Abstract Background Limited access to echocardiography can delay the diagnosis of suspected heart failure (HF), which in turn postpones the initiation of optimal guideline-directed medical therapy. …”
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Supervised Learning of Depth Estimation From Imperfect Rectified Stereo Laparoscopic Images of Liver Surface by Chongan Zhang, Ziyi Jin, Xiaoyue Liu, Yuelong Liang, Xiao Liang, Peng Wang, Xiujun Cai, Xuesong Ye

“…A dataset is created for laparoscopic liver depth images, and the ACVNet++ algorithm is tested on this dataset. …”
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Accessible interactive learning of missing-digit arithmetic problems for students with visual disabilities by Amjad Ali, Shah Khusro, Shabbab Ali Algamdi

“…This study proposes a novel solution to address these challenges by developing an algorithm designed to assist students with visual disabilities solve missing digit arithmetic problems. …”
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Generative design optimization of tree distribution for enhanced thermal comfort in communal spaces with special reference to hot arid climates by Ahmed Maged, Aly Abdelalim, Abdelaziz Farouk A. Mohamed

“…These applications, help designers in solving multi-objective design quandaries through the generation and evaluation of numerous design options. …”
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RMDNet: RNA-aware dung beetle optimization-based multi-branch integration network for RNA–protein binding sites prediction by Jiangbo Zhang, Yunhui Peng, Feifei Cui, Zilong Zhang, Shankai Yan, Qingchen Zhang

“…Evaluations on the RBP-24 benchmark show that RMDNet outperforms state-of-the-art models including GraphProt, DeepRKE, and DeepDW across multiple metrics. On the RBP-31 dataset, it demonstrates strong generalization ability, while ablation studies on RBPsuite2.0 validate the contributions of individual modules. …”
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Enhancing Road Safety: Detection of Animals on Highways During Night by K. Parkavi, Agniv Ganguly, Shivansh Sharma, Ashesh Banerjee, Keshav Kejriwal

“…Despite the model’s good performance in normal low-light situations, problems still arise in unfavorable conditions including rain, fog, and dense foliage, which can lower detection accuracy. …”
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Calcium and Vitamin D supplements in the treatment of osteoporosis. by Ahmed I Alobaidi, Ahmed Hazim Al Aoodh, Nabeel Yousif Abdullah, HUSHAM JASSIM, Mubder Abdul_Raheem Mohammed saeed, Housamaddeen Alfarhan

“…This paper reviews the recent data regarding vitamin D and calcium supplements that utilized to prevent and treat osteoporosis.…”
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Deep reinforcement learning for path planning of autonomous mobile robots in complicated environments by Zhijie Zhang, Hao Fu, Juan Yang, Yunhan Lin

“…To tackle these challenges, the Gated Attention Prioritized Experience Replay Soft Actor-Critic (GAP_ SAC) algorithm is proposed. Key improvements include expanding the state space for better perception, designing a dynamic heuristic reward function to more effectively guide the AMR in achieving its path planning objectives and integrating Prioritized Experience Replay (PER) to improve sample efficiency and accelerate convergence. …”
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Imbalanced Data Problem in Machine Learning: A Review by Manahel Altalhan, Abdulmohsen Algarni, Monia Turki-Hadj Alouane

“…This survey delves into various machine learning techniques developed to address the difficulties posed by imbalanced data. …”
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A Hierarchical Feature Fusion and Dynamic Collaboration Framework for Robust Small Target Detection by Xu Yan, Junliang Du, Xuan Li, Xiaoye Wang, Xiaoxuan Sun, Pochun Li, Hongye Zheng

“…Meanwhile, the dynamic collaboration mechanism (DCCA) dynamically adjusts feature fusion weights and detection strategies based on target scale and density distribution, thereby further improving detection accuracy and robustness. …”
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Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques by Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat

“…Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. …”
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AFault Tolerant Multi-Controller Framework for SDN DDoS Attacks Detection by Parisa Valizadeh, Ahmad Taghinezhad-Niar

“…However, it has security flaws like unreachability in Distributed Denial-of-Service attacks (DDoS). …”
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Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease by Yunmeng Ou, Jingyi Yan, Zhiyan Liang, Baohua Zhang

“…The presence of gray mold can seriously affect the yield and quality of strawberries. Due to their susceptibility and the rapid spread of this disease, it is important to develop early, accurate, rapid, and non-destructive disease identification strategies. …”
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Advancements in Onboard Processing of Synthetic Aperture Radar (SAR) Data: Enhancing Efficiency and Real-Time Capabilities by Laura Parra Garcia, Gianluca Furano, Max Ghiglione, Valentina Zancan, Ernesto Imbembo, Christos Ilioudis, Carmine Clemente, Paolo Trucco

“…First, it significantly reduces the data volume to be downlinked, optimizing the usage of limited bandwidth and minimizing transmission delays. …”
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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…The purpose of blood cell detection is to precisely identify and classify diverse blood cells, detecting anomalies associated with blood cancers like leukemia. …”
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Adaptive optimization decision system for plate-fin heat Exchangers: An integrated approach to enhancing efficiency and performance by Na Sun, Shuai Zhang, Nan Li, Zijian Li, Meng He, Zhengchun Shen, Ke Wang, Xiaoyong Guo, Wen-Quan Tao

“…The framework includes four modules: problem formulation, global sensitivity analysis (GSA), optimization (single- and multi-objective), and decision-making. The GSA module uses the Sobol method to evaluate the impact of design variables on performance. …”
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The Gendered Well-being Assessment: addressing trauma, complex needs & social determinants of health by Denise Ruprai, Simon Pemberton, Richard Summers

“…The assessment takes account of the interconnectedness of needs, and across 5 key domains, and 12 sections create a comprehensive overview of the breadth and depth of needs. …”
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HybridFormer: a convolutional neural network-Transformer architecture for low dose computed tomography image denoising by Shanaz Sharmin Jui, Zhitao Guo, Rending Jiang, Jiale Liu, Bohua Li

“…Finally, using RSTB, we developed a deep feature refinement module (DFRM) to preserve image details. …”
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Pilot Position Optimization Design of WLAN System Based on Experiment by Jue Lan, Yunzhou Li, Xin Su, Shidong Zhou

“…Considering the frame structure of IEEE 802.11ac with “leading preamble plus comb-like pilot”，the performance evaluation formula of the correction scheme based on maximum likelihood estimation was derived，according to which the effect of pilot location，channel fading and subcarrier correlation was studied.Furthermore，a signalling exchange method was proposed，which ensured pilot position synchronization on both end，and a low complexity algorithm of pilot optimization according to the frequency channel amplitude information.In this way，the pilot overhead can be reduced without loss of correction performance.The experiment and simulation result shows that for ideal Rayleigh channel data，correction performance improves by 1.85 dB and 7.15 dB for unknown channel amplitude information in frequency domain and known cases respectively.For field experiment channel data，correction performance improves by 1.67 dB and 2.68 dB respectively.…”
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Deep Learning in Power Systems: A Bibliometric Analysis and Future Trends by Seyed Mahdi Miraftabzadeh, Andrea Di Martino, Michela Longo, Dario Zaninelli

“…Advancements in deep learning enable sophisticated algorithms to learn from vast data sets, driving innovation and efficiency in power systems. …”
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