Few-shot learning for novel object detection in autonomous driving by Yifan Zhuang, Pei Liu, Hao Yang, Kai Zhang, Yinhai Wang, Ziyuan Pu

“…Artificial intelligence and advanced sensing technologies have significantly advanced the intelligent transportation system and autonomous vehicles. Perception, a critical component, extracts real-time traffic information essential for various system functionalities, such as agent behavior prediction. …”
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The Automation of C Program Verification by Symbolic Method of Loop Invariants Elimination by Dmitry Kondratyev, Ilya Maryasov, Valery Nepomniaschy

“…This rule was implemented in verification conditions generator which is a part of the automated system of C-light program verification. To prove verification conditions automatically in ACL2, two algorithms were developed and implemented. …”
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Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Idrees Alsolbi

“…Such findings create possibilities in expanding the existing literature on the use of hybrid optimization methods to enhance sustainable computing solutions in the context of distribution systems.…”
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Guided-Aloha for Secondary Access With Spectrum Prediction by Sithamparanathan Kandeepan, Madhulika Tripathi, Ke Wang, Don Gossink, Tharaka Samarasinghe, Chamath Divarathne

“…Despite the benefits of intelligent DSA protocols, many algorithms are complex, and thus prohibitively difficult to implement in a real-time system. …”
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CLINICODIAGNOSTIC FEATURES OF OTORHINOSINUSOGENIC INTRACRANIAL PYOINFLAMMATORY DISEASES COMPLICATED BY SEPSIS by A. A. Krivopalov, Yu. K. Yanov, V. A. Shatalov, A. N. Rubin, A. Yu. Shcherbuk, S. A. Artyushkin, Z. N. Shardanov, S. V. Shervashidze

“…The early diagnostics of systemic inflammatory response, sepsis, organosystemic disorders, practical application of modern algorithm of diagnostics and treatment, medico-economic standards of sepsis are necessary in order to start specialized intensive treatment on time. …”
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A Review of Quantitative Characterization of Phase Interface Dynamics and Optimization of Heat Transfer Modeling in Direct Contact Heat Transfer by Mingjian Wang, Jianxin Xu, Shibo Wang, Hua Wang

“…This study examined two key issues of the direct contact heat transfer process: difficulty in accurately characterizing the dynamics of the flow field–phase interface; and difficulty in coupling the complex multiphysics fields involved in direct contact heat transfer. This paper systematically reviews the spatio-temporal evolution characteristics and quantitative characterization methods of bubble dynamics in direct contact heat transfer processes, with an in-depth discussion on theoretical modeling approaches and experimental validation strategies for coupled heat and mass transfer mechanisms within multiphase flow systems. …”
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Network intrusion detection model using wrapper based feature selection and multi head attention transformers by Muhammad Umer, Muhammad Tahir, Muhammad Sardaraz, Muhammad Sharif, Hela Elmannai, Abeer D. Algarni

“…It is important to protect these systems from intruders and cyberattacks. Due to the increase in data, the diverse nature of devices, and the types of attacks, standard security systems find it difficult to tackle these attacks. …”
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Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming by Caterina Losacco, Gianluca Pugliese, Lucrezia Forte, Vincenzo Tufarelli, Aristide Maggiolino, Pasquale De Palo

“…The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. …”
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Vibration control and noise attenuation strategies via acoustic metamaterial in railway transportation: a state-of-the-art review by Cong Wang, Guifeng Wang, Zhenyu Chen, C. W. Lim, Weiqiu Chen

“…Additionally, integrating optimization algorithms and artificial intelligence (AI) enhances AMM design precision and scalability. …”
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Distribution station inspection robot with modular manipulator by Qihui Yu, Qinglong Zhang, Guoxin Sun, Ripeng Qin

“…Substation inspection robots play a vital role in ensuring the safety of power grid systems and improving operational efficiency. However, existing inspection robots often face challenges such as limited flexibility at the mechanical end-effector, slow tool-switching speeds, and an inability to meet diverse operational demands, which restrict their efficiency and adaptability. …”
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Statistics on the work of gastroenterologists in the Russian Federation in 2013–2017 by N. E. Guryanova, O. I. Sachek, M. A. Ivanova

“…In recent decades, increasing importance in modern diagnostic algorithms is given to techniques that use optical systems, including those with the ability to examine organs in various spectral ranges and in fluorescence modes. …”
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Detection of Mycobacterium tuberculosis in sputum in patients coinfected with HIV / tuberculosis by various methods (literature review) by I. B. Viktorova, S. Yu. Degtyareva, E. I. Kulabukhova, E. N. Beloborodova, V. N. Zimina

“…Therefore, in the context of the continuing  increase in the number of patients with co-infection, rapid,  molecular-genetic methods for the detection of MTB DNA should be  included in the algorithm for screening for tuberculosis of HIV- infected patients during their first encounter with the healthcare system.…”
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Adjusted imbalance ratio leads to effective AI-based drug discovery against infectious disease by Ons Masmoudi, Afef Abdelkrim, Emna Harigua-Souiai

“…We trained five machine learning and six deep learning algorithms to predict the anti-pathogen activity of chemical compounds, derived from PubChem Bioassays targeting four infectious diseases. …”
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Providing contexts for classification of transients in a wide-area sky survey: An application of noise-induced cluster ensemble by Tossapon Boongoen, Natthakan Iam-On, James Mullaney

“…With new sensor systems that capture sky survey at high quality level, analyzing the resulting data within a limited time frame appears to be the next challenge. …”
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Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization by Mohammad Babar, Muhammad Sohail Khan, Ahmad Din, Farman Ali, Usman Habib, Kyung Sup Kwak

“…Most of the IoT-based smart systems require low latency and crisp response time for their applications. …”
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Dedicated hardware architecture for localizing iris in VW images by Vineet Kumar, Abhijit Asati, Anu Gupta

“…In general, the architecture can be used for a class of iris localization algorithms based on the edge-map generation and circular Hough transform (CHT). …”
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Microcontroller-Based Platform for Lithium-Ion Battery Charging and Experimental Evaluation of Charging Strategies by Laurentiu Marius Baicu, Mihaela Andrei, Bogdan Dumitrascu

“…Its open-source architecture and modular design make it highly suitable for research, educational use, and experimental development in battery management systems. Future enhancements may include the integration of adaptive algorithms based on internal resistance and temperature, enabling smarter and more efficient charging.…”
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Visible and near‐infrared image fusion based on information complementarity by Zhuo Li, Shiliang Pu, Mengqi Ji, Feng Zeng, Bo Li

“…The fusion of visible and near‐infrared (NIR) aims to enhance the quality of images acquired by video monitoring systems for the ease of user observation and data processing. …”
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Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

“…In recent years lots of research were conducted and various machine learning algorithms were developed around the processing of data to achieve higher accuracy while reducing the processing time is still challenging. …”
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ML modeling of ultimate and relative bond strength for corroded rebars based on concrete and steel properties by Alireza Hosseinzadeh Kashani, Mansour Ghalehnovi, Hossein Etemadfard

“…Abstract Corrosion-induced bond strength degradation between reinforcing bars and concrete significantly compromises the durability and structural performance of reinforced concrete (RC) systems. Accurate prediction of bond behavior under corrosion is critical for assessing residual capacity and informing rehabilitation strategies. …”
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