WGAN-DL-IDS: An Efficient Framework for Intrusion Detection System Using WGAN, Random Forest, and Deep Learning Approaches by Shehla Gul, Sobia Arshad, Sanay Muhammad Umar Saeed, Adeel Akram, Muhammad Awais Azam

“…The rise in cyber security issues has caused significant harm to tech world and thus society in recent years. Intrusion detection systems (IDSs) are crucial for the detection and the mitigation of the increasing risk of cyber attacks. …”
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The Convergence of AI and animal-inspired robots for ecological conservation by Naqash Afzal, Mobeen ur Rehman, Lakmal Seneviratne, Irfan Hussain

“…This synergistic approach harnesses the strengths of both technology and biology, marking a significant leap forward in our efforts to protect and preserve the natural world.…”
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Trends in drug repurposing for chronic hepatitis-B infection: Bibliometric-based approach 1990-2024 by Irham Lalu Muhammad, Amukti Danang Prasetyaning, Adikusuma Wirawan, Singh Dilpreet, Chong Rockie, Pranata Satriya, Khairi Sabiah

“…Chronic hepatitis B (CHB) infection is still a world problem today, especially in the developing countries. …”
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MLDFNet: A Multilabel Dual-Flow Network for Change Detection in Bitemporal Remote Sensing Images by Daniyaer Sidekejiang, Panpan Zheng, Liejun Wang

“…These results validate its superior performance and potential value in real-world remote sensing applications.…”
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cLegal-QA: a Chinese legal question answering with natural language generation methods by Yizhen Wang, Xueying Shen, Zixian Huang, Lihui Niu, Shiyan Ou

“…Furthermore, we evaluated the real-world performance of these models with expert validation and applied transfer learning to new civil disputes. …”
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Enhancing zero-shot stance detection via multi-task fine-tuning with debate data and knowledge augmentation by Qinlong Fan, Jicang Lu, Yepeng Sun, Qiankun Pi, Shouxin Shang

“…Abstract In the real world, stance detection tasks often involve assessing the stance or attitude of a given text toward new, unseen targets, a task known as zero-shot stance detection. …”
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Expanded Use of Vorasidenib in Non-Enhancing Recurrent CNS WHO Grade 3 Oligodendroglioma by Alexander S. Himstead, Jefferson W. Chen, Eleanor Chu, Mari A. Perez-Rosendahl, Michelle Zheng, Sherin Mathew, Carlen A. Yuen

“…Vorasidenib was well tolerated in our patient with a mild elevation in his liver transaminases that resolved following a brief interruption in treatment. …”
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Machine and deep learning performance in out-of-distribution regressions by Assaf Shmuel, Oren Glickman, Teddy Lazebnik

“…While the degradation in OOD performance is well acknowledged, to the best of our knowledge, this is one of the first studies to quantify it for various models on a large benchmark n  = 15 real-world regression datasets. …”
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Learning Automata Based Incremental Learning Method for Deep Neural Networks by Haonan Guo, Shilin Wang, Jianxun Fan, Shenghong Li

“…The experiments on MNIST and CIFAR-100 demonstrated that our method can be implemented for deep neural models in a long sequence of incremental training stages and can achieve superior performance than training from scratch and the fine-tuning method.…”
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A Comprehensive Exploration of 6G Wireless Communication Technologies by Md Nurul Absar Siddiky, Muhammad Enayetur Rahman, Md Shahriar Uzzal, H. M. Dipu Kabir

“…This paper not only lays out a comprehensive 6G vision accentuated by high security, affordability, and intelligence but also charts the course for addressing the pivotal challenges of spectrum efficiency, energy consumption, and the seamless integration of emerging technologies. …”
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High-Performance Multi-Object Tracking for Autonomous Driving in Urban Scenarios With Heterogeneous Embedded Boards by Alessio Medaglini, Biagio Peccerillo, Sandro Bartolini

“…We propose and discuss some non-trivial software design choices and implementation strategies that are needed to match the specific computational and memory access needs of MOT strategies, and the architectural opportunities of NVIDIA embedded GPGPU systems. Our code is made available as open-source. We compare our solution against a highly optimized multi-core version and show that we are able to trigger significant performance speedups (up to <inline-formula> <tex-math notation="LaTeX">$7.19\times $ </tex-math></inline-formula>) in all power-modes, sometimes even surpassing the CPU reference with the GPU in a lower-power operating mode.…”
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Does the consumption of soya products affect cholesterol levels, blood pressure, or other cardiovascular health indicators? by Aleksandra Walendzik, Kinga Racisz, Joanna Duda, Jakub Kędzia, Alicja Obcowska, Paweł Racisz, Łukasz Sencerek

“… Introduction and Purpose Cardiovascular diseases (CVD)  are the leading factor of mortality among people in the world. For this reason, people are trying to find factors that could improve the condition of the circulatory system. …”
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Business Process Modeling Patterns for Blockchain Application Development by Fouzia Alzhrani, Kawther Saeedi, Liping Zhao

“…Through a trend analysis of real-world blockchain applications, we identified recurring business processes across domains and validated our patterns by comparing them to existing literature and a proof-of-concept application. …”
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Cyanin Chloride Inhibits Hyperbaric Pressure-Induced Decrease of Intracellular Glutamate-Aspartate Transporter in Rat Retinal Müller Cells by Xiaomin Chen, Yue Wang, Fangfang Han, Min Ke

“…Glaucoma is the leading cause of irreversible blindness throughout the world. The pathogenesis of glaucoma is complex, and neuroprotection is a crucial aspect of therapy. …”
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QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks by Wenming Ma, Qian Zhang, Chunxiao Mu, Meng Zhang

“…In this paper, we proposed a novel neural collaborative filtering method based on transfer learning, which can evaluate the QoS with few historical data by evaluating the other different QoS properties with rich historical data. We conduct our experiments on a large real-world dataset, the QoS values of which are obtained from 339 clients evaluating on the other 5825 clients. …”
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Association of systemic vitamin D on the course of dengue virus infection in adults: a single-centre dengue cohort study at a large institution in Singapore by Sapna P Sadarangani, Htet Lin Htun, Weiping Ling, Robert Hawkins, Tsin Wen Yeo, Laura Rivino, Paul A MacAry, Yee-Sin Leo

“…Six participants had severe dengue based on the World Health Organization (WHO) 1997 criteria (i.e. dengue haemorrhagic fever/dengue shock syndrome) and another six had severe dengue based on the WHO 2009 criteria. …”
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Investigation of new solitary stochastic structures to the Heisenberg ferromagnetic spin chain model via a Stratonovich sense by Md. Nur Alam

“…Furthermore, we relate our mathematical findings to real-world phenomena, enhancing the depth and significance of our research. …”
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A data fusion approach for providing valid annual passenger transport statistics during the COVID-19 pandemic by Anton Galich, Christine Eisenmann, Katja Köhler

“…Consequently, capturing these changes accurately and providing valid annual transport statistics constitutes a tremendous challenge all over the world. Against this background and the lack of a single comprehensive source of data revealing the ground truth, we present a data fusion approach to provide valid annual transportation statistics for Germany during the COVID19 pandemic. …”
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A Watershed Approach to Co-Creating Just Sustainabilities: Reflections from the Lake Superior Living Labs Network by Charles Z. Levkoe, Nairne Cameron, Lindsay P. Galway, Rachel L. W. Portinga, Randy Hanson, Kathryn Milun, Erika Vye

“… Campus-community partnerships are well-positioned to play a role in advancing social and environmental justice in the context of our rapidly changing and increasingly inequitable world. …”
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ADA-NAF: Semi-Supervised Anomaly Detection Based on the Neural Attention Forest by Andrey Ageev, Andrei Konstantinov, Lev Utkin

“…The model shows particular strength in handling high-dimensional data and capturing subtle anomalies that traditional methods often do not detect. Our results validate the ADA-NAF’s effectiveness and versatility as a robust solution for real-world anomaly detection challenges with promising applications in cybersecurity, industrial monitoring, and healthcare diagnostics. …”
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