Design of a Heterogeneous-Based Network Intrusion Detection System and Compiler by Zhigui Lin, Xiaofeng Zhang, Qi Liu, Jun Cui

“…We construct an FPGA + CPU heterogeneous detection system featuring a five-tuple segmented matching architecture, which integrates hash bitmap and shift-or algorithms to achieve fast-pattern matching. …”
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Investigating the hydrogen renaissance in the global energy transition with AI integration by Abderrahim Lakhouit

“…Hydrogen is increasingly recognized as a crucial element in the global shift towards a low-carbon economy, with the potential to decarbonize multiple sectors, including industry, transportation, and energy systems. …”
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Endemic cushions of the Khorassan-Kopet Dagh floristic province show differential responses to future climate change by Zohreh Atashgahi, Mohammad Bagher Erfanian, Hamid Moazzeni, Gelareh Shemirani, Atefeh Pirani

“…Moreover, all analyzed species would shift upward in their altitudinal distribution range. …”
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PROPERTIES OF GROUPS G OF DOUBLE ERRORS AND ITS INVARIANTS IN BCH CODES by V. A. Lipnitskij, A. V. Serada

“…The group Г of the cyclical shift of vector component lies at the core of the theory. …”
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Scalable 3D reconstruction for X-ray single particle imaging with online machine learning by Jay Shenoy, Axel Levy, Kartik Ayyer, Frédéric Poitevin, Gordon Wetzstein

“…These abilities signify a paradigm shift in X-ray single particle imaging towards real-time reconstruction.…”
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B-UMCS: Blockchain-enabled Unified Medical Consultancy Service. by Albatoul Almohana, Iman Almomani, Walid El-Shafai

“…The advent of blockchain technology within the healthcare domain has signified a paradigm shift, transitioning from an emerging trend to an essential infrastructure component that ensures decentralization, transparency, integrity, and persistent availability. …”
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Incentive Scheme for Low-Carbon Travel Based on the Public–Private Partnership by Yingtian Zhang, Gege Jiang, Anqi Chen

“…This paper proposes an incentive scheme based on a public–private partnership (PPP) to encourage low-carbon travel behavior by inducing the mode choice shift from private cars to public transit. The scheme involves three key entities: travelers, the government, and the private sector. …”
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MASSIVE: A scalable framework for agent-based scheduling of micro-grids using market mechanisms by Jakob M. Fritz, Lea Riebesel, André Xhonneux, Dirk Müller

“…Abstract With the increasing share of distributed renewable energy sources the need arises to store excess energy and/or to shift demands to match the given supply. To coordinate multiple suppliers and demands in a local energy-system different control approaches can be used. …”
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Artificial intelligence in automation and graphic design by Esam Ibrahim Mohammed Al-Kubisy

“…However, as technological breakthroughs rapidly shift the boundaries between work tasks performed by humans and those performed by machines and algorithms, global labor markets are undergoing major transformations. …”
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“I exist because I adapt”: Evolving technology HR themes, HR roles with STARA competencies for performance by Vinit Ghosh, Gaurav Kabra

“…The paper aims to understand the research themes evolved from 2011-2024 in Human resource (HR) technology field and highlight key HR technology roles with STARA (Smart Technology, AI, Robotics and Algorithms) competencies. To capture the technology shift and research themes in the technology HR field pre- and post-pandemic period, we conducted bibliometric analysis for the two time periods viz., 2011-2019 and 2020-2024. …”
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A new temporal locality-based workload prediction approach for SaaS services in a cloud environment by Wiem Matoussi, Tarek Hamrouni

“…As the paradigm shift toward Software as a Service (SaaS) continues to gain the interest of companies and the scientific community, performances must be optimal. …”
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Diagnostic Performance of Artificial Intelligence–Based Methods for Tuberculosis Detection: Systematic Review by Seng Hansun, Ahmadreza Argha, Ivan Bakhshayeshi, Arya Wicaksana, Hamid Alinejad-Rokny, Greg J Fox, Siaw-Teng Liaw, Branko G Celler, Guy B Marks

“…ObjectiveWe aimed to provide a comprehensive evaluation of AI-based algorithms for TB detection across various data modalities. …”
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Development and Simulation of PID-Controller Fuel Cell System with DC-DC Boost Converter by Marghani Assia, Rerhrhaye Fathallah, Ennaciri Yassine, Bouguanssa Issam, El Ayachi Chater, El Akkary Ahmed, Sefiani Nacer

“…In the context of the global shift towards sustainable energy, fuel cells have emerged as a promising technology due to their high efficiency and low environmental impact. …”
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DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks by Yasir Ullah, Idris Olalekan Adeoye, Mardeni Roslee, Mohd Azmi Ismail, Farman Ali, Shabeer Ahmad, Anwar Faizd Osman, Fatimah Zaharah Ali

“…A modified K-means clustering algorithm is used to efficiently partition the ground users (GUs) considering the newly added GUs as well. …”
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A tutorial on ‘capped utilisation’ as a metric and key performance target in NHS England’s Model Hospital operating theatres database: caution for international healthcare systems... by Chen Zhang, Claire Dunstan, Jaideep J. Pandit

“…It has proved unachievable in any sustainable way, and its underlying algorithm produces aberrant values. We discuss the serious consequences of basing other national policies or funding models on a fundamentally flawed metric. …”
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Forecasting Stock Market Volatility Using Housing Market Indicators: A Reinforcement Learning-Based Feature Selection Approach by Pourya Zareeihemat, Samira Mohamadi, Jamal Valipour, Seyed Vahid Moravvej

“…To directly address these issues, our innovative approach utilizes a spatial attention-based Transductive Long Short-Term Memory (TLSTM) model combined with a Reinforcement Learning (RL) strategy, which is further enhanced by a novel scope loss function for refined feature selection and an Artificial Bee Colony (ABC) algorithm for hyperparameter optimization. The TLSTM model surpasses traditional LSTM models by effectively capturing subtle temporal shifts and prioritizing data points proximate to the test sample, thereby enhancing model generalization. …”
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High-fidelity tissue super-resolution imaging achieved with confocal2 spinning-disk image scanning microscopy by Qianxi Liang, Wei Ren, Boya Jin, Liang Qiao, Xichuan Ge, Yunzhe Fu, Xiaoqi Lv, Meiqi Li, Peng Xi

“…Additionally, the DPA-PR algorithm effectively corrects Stokes shifts, optical aberrations, and other non-ideal conditions, achieving a lateral resolution of 144 nm and an axial resolution of 351 nm, and a linear correlation of up to 92% between the original confocal and the reconstructed image, thereby enabling high-fidelity super-resolution imaging. …”
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Controllability test for nonlinear datatic systems by Yujie Yang, Letian Tao, Likun Wang, Shengbo Eben Li

“…Starting with a specific target state, our algorithm can iteratively propagate controllability from a known state ball to a new one. …”
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Structural health monitoring based on three-dimensional point cloud technology: A systematic review by Yanzong Zhang, Guibo Nie, Duozhi Wang

“…Future efforts should optimize intelligent algorithms to shift 3D point cloud technology from ''single technological breakthrough'' to ''systemic capability development,'' supporting automated structural health monitoring and resilient urban development.…”
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NOVEL MICROWAVE SENSOR FOR ENHANCED BIOCHEMICAL DETECTION AND PREDICTION THROUGH MACHINE LEARNING FOR INDUSTRIAL APPLICATIONS by G. Challa Ram, M. Venkata Subbarao, K. Padma Satya Sri, Naveen Kumar Maurya, D. Ramesh Varma, M. Prema Kumar

“…The changing dielectric constant of the analyte induces a frequency shift, allowing for the identification of different materials. …”
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