Automatic brake Driver Assistance System based on deep learning and fuzzy logic. by A R García-Escalante, R Q Fuentes-Aguilar, A Palma-Zubia, E Morales-Vargas

“…These systems seek to provide precise synchronization for decision-making processes and explore algorithms beyond emergency responses, enabling braking actions with short reaction times. …”
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Intelligent On/Off Dynamic Link Management for On-Chip Networks by Andreas G. Savva, Theocharis Theocharides, Vassos Soteriou

“…Most of these proposed algorithms focus on a pessimistic and simple static threshold mechanism which determines whether or not a link should be turned on/off. …”
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Knee Joint Biomechanical Gait Data Classification for Knee Pathology Assessment: A Literature Review by Mariem Abid, Neila Mezghani, Amar Mitiche

“…We recorded the relevant information pertaining to the investigated knee joint pathologies, the participants’ attributes, data acquisition, feature extraction, and selection used to represent the data, as well as the classification algorithms and validation of the results. Results. Thirty-one studies met the inclusion criteria for review. …”
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Sulfasalzine in the management of pure axial spondyloarthritis: Need to have a relook! by Subramanian Shankar, Arun Hegde

“…We also explore the role of other innovative strategies in the management of axial SpA and suggest alternate algorithms catering to the Indian scenario.…”
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Dynamic Foraging in Swarm Robotics: A Hybrid Approach with Modular Design and Deep Reinforcement Learning Intelligence by Ali Hammoud, Alaa Iskandar, Béla Kovács

“…This paper proposes a hybrid approach that combines intelligent algorithms and modular design to solve a foraging problem within the context of swarm robotics. …”
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A Comparative Study of Three Resolving Parameters of Graphs by Hafiz Muhammad Ikhlaq, Hafiz Muhammad Afzal Siddiqui, Muhammad Imran

“…It is used to monitor the movement of robots on a network, to debug computer networks, to develop algorithms, and to analyze the structural properties of chemical structures, among other things. …”
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Unlocking autism’s complexity: the Move Initiative’s path to comprehensive motor function analysis by Ashley Priscilla Good, Elizabeth Horn

“…Despite advances in sensors, wearables, algorithms, machine learning, and agentic AI, autism research remains siloed, with many tools inaccessible to affected families and care teams. …”
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Data-Driven versus Köppen–Geiger Systems of Climate Classification by Vajira Lasantha, Taikan Oki, Daisuke Tokuda

“…We applied three clustering algorithms—k-means, ISODATA, and unsupervised random forest classification—to a dataset comprising 10 climatic variables and elevation; we then compared the obtained results with those from the Köppen–Geiger classification system. …”
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Research on the optimization of drum structure based on virtual prototyping technology by Xin Jin, Dongpo Han, Guochao Zhao, Lijuan Zhao, Hongmei Liu

“…By fitting the comprehensive performance evaluation function of the drum, the optimal structural parameters are obtained through the improved Non-Dominated Sorting Genetic Algorithms (NSGA-II). Taking into account both technical and economic factors, the optimal helix angle is ultimately determined to be 18°, the optimal installation angle is 45°, and the optimal cutting distance is 71 mm. …”
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Performance Evaluation of Two ANFIS Models for Predicting Water Quality Index of River Satluj (India) by Sharad Tiwari, Richa Babbar, Gagandeep Kaur

“…Recently, artificial intelligence algorithms that are appropriate for nonlinear forecasting and also dealing with uncertainties have been applied to various domains of water quality forecasting. …”
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Attribute Selection Impact on Linear and Nonlinear Regression Models for Crop Yield Prediction by Alberto Gonzalez-Sanchez, Juan Frausto-Solis, Waldo Ojeda-Bustamante

“…However, attributes are usually selected based on expertise assessment or in dimensionality reduction algorithms. A fairer comparison should include the best subset of features for each regression technique; an evaluation including several crops is preferred. …”
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Cognitive component of auditory attention to natural speech events by Nhan Duc Thanh Nguyen, Kaare Mikkelsen, Preben Kidmose

“…The recent progress in auditory attention decoding (AAD) methods is based on algorithms that find a relation between the audio envelope and the neurophysiological response. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…However, implementing accurate and automated object detection algorithms mitigates these challenges, allowing errors or defects to be detected before processing. …”
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Learning From High-Cardinality Categorical Features in Deep Neural Networks by Mustafa Murat Arat

“…Some machine learning algorithms expect the input variables and the output variables to be numeric. …”
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Evaluation and optimization of carbon emission for federal edge intelligence network by Peng ZHANG, Yong XIAO, Jiwei HU, Liang LIAO, Jianxin LYU, Zegang BAI

“…In recent years, the continuous evolution of communication technology has led to a significant increase in energy consumption.With the widespread application and deep deployment of artificial intelligence (AI) technology and algorithms in telecommunication networks, the network architecture and technological evolution of network intelligent will pose even more severe challenges to the energy efficiency and emission reduction of future 6G.Federated edge intelligence (FEI), based on edge computing and distributed federated machine learning, has been widely acknowledged as one of the key pathway for implementing network native intelligence.However, evaluating and optimizing the comprehensive carbon emissions of federated edge intelligence networks remains a significant challenge.To address this issue, a framework and a method for assessing the carbon emissions of federated edge intelligence networks were proposed.Subsequently, three carbon emission optimization schemes for FEI networks were presented, including dynamic energy trading (DET), dynamic task allocation (DTA), and dynamic energy trading and task allocation (DETA).Finally, by utilizing a simulation network built on real hardware and employing real-world carbon intensity datasets, FEI networks lifecycle carbon emission experiments were conducted.The experimental results demonstrate that all three optimization schemes significantly reduce the carbon emissions of FEI networks under different scenarios and constraints.This provides a basis for the sustainable development of next-generation intelligent communication networks and the realization of low-carbon 6G networks.…”
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Deep learning‐based unmanned aerial vehicle detection in the low altitude clutter background by Zeyang Wu, Yuexing Peng, Wenbo Wang

“…Sufficient experiments are carried out on both real and simulated data sets, and the comparative results verify that the proposed model outperforms the mainstream algorithms and improves the detection accuracy by more than 5% under severe ground clutter interference.…”
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Cross-species stability of reference genes in medicinal plants Arnica montana and Arnica chamissonis by Sozoniuk Magdalena, Czapla Karolina, Sugier Danuta, Kowalczyk Krzysztof

“…After evaluating their expression stability with four distinct algorithms (geNorm, NormFinder, BestKeeper and delta Ct method), we found that SKIP16 and F-box were the most stable reference genes in A. montana, whereas SAND and F-box were best-performing genes in A. chamissonis. …”
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A framework for conceptualizing integrated prescriptive maintenance and production planning and control models by Kevin Wesendrup, Bernd Hellingrath, Zoi Nikolarakis

“…Lastly, we do not address solution algorithms. Practical implications: The framework constitutes a tool for managers to construct integrated models tailored to their specific planning problems, fostering alignment between production and maintenance departments, plans and controls. …”
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Coupling WRF Double-Moment 6-Class Microphysics Schemes to RRTMG Radiation Scheme in Weather Research Forecasting Model by Soo Ya Bae, Song-You Hong, Kyo-Sun Sunny Lim

“…This coupling effect of cloud properties between the WDM6 and RRTMG algorithms is examined for a heavy rainfall event in Korea during 25–27 July 2011, and it is compared to the results from the control simulation in which the effective radius is prescribed as a constant value. …”
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The Themes of Entrepreneurship Discourse: A Data Analytics Approach by Philip T. Roundy, Arben Asllani

“…To map the themes in entrepreneurs’ language, we use data analytic techniques coupled with text mining algorithms to analyze a longitudinal corpus of entrepreneurial discourse. …”
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