Efficiency-Aware: Maximizing Energy Utilization for Sensor Nodes Using Photovoltaic-Supercapacitor Energy Systems by Zheng Liu, Xinyu Yang, Shusen Yang, Julie McCann

“…We formalize the maximization problem as a nonlinear optimization problem and develop two efficient algorithms for its optimal solutions. The performance of our approaches is evaluated via extensive numeric simulations, and the results show that our efficiency-aware framework can, respectively, achieve 60% and 56% more active time (i.e. energy utilization) than the fixed duty cycle scheme and leakage-aware , a state-of-the-art scheme for photovoltaic-supercapacitor energy systems.…”
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Modulating gene expression as a strategy to investigate thyroid cancer biology by Diego Claro de Mello, Joice Moraes Menezes, Antonio Tarelo Freitas de Oliveira, Marcella Maringolo Cristovão, Edna Teruko Kimura, Cesar Seigi Fuziwara

“…This strategy has evolved methodologically due to advances in cloning approaches, modeling/algorithms in short hairpin RNA (shRNA) design for knockdown efficiency, and biochemical modifications in RNA synthesis, among other developments. …”
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A Reconfigurable Systolic Array Architecture for Multicarrier Wireless and Multirate Applications by H. Ho, V. Szwarc, T. Kwasniewski

“…For DFT circuit configurations, an algorithmic optimization technique has been employed to reduce the overall number of vector-matrix products to be mapped on the RSA. …”
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Revolutionizing Agriculture: A Comprehensive Review of AI-Enabled Precision Irrigation and Water Quality Forecasting by Hajar Hamdaoui, Youness Hsana, Inass Hamdi, Hanae Al kaddouri, Nour-Eddine Kouddane

“…This review explores recent AI applications in irrigation, focusing on three areas: AI-powered estimation of Crop Evapotranspiration (ETo), integration of AI with Interet of Things (IoT) for Smart Irrigation Systems (Smart-IS), and AI's role in forecasting water quality for irrigation. AI algorithms optimize water usage by quantifying water needs, enabling real-time monitoring, autonomous decision-making, and mitigating risks associated with poor water quality, thus enhancing crop productivity while minimizing environmental impacts. …”
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Study of Heat Transfer under the Impact of Thermal Radiation, Ramped Velocity, and Ramped Temperature on the MHD Oldroyd-B Fluid Subject to Noninteger Differentiable Operators by Syed Tauseef Saeed, Ilyas Khan, Muhammad Bilal Riaz, Syed Muhammad Husnine

“…The mathematical analysis of fractional governing partial differential equations has been established using systematic and powerful techniques of Laplace transform with its numerical inversion algorithms. The fractionalized solutions have been traced out separately through all fractional differential operators. …”
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On the Measurement of Laser Lines in 3D Space with Uncertainty Estimation by Ivan De Boi, Nasser Ghaderi, Steve Vanlanduit, Rudi Penne

“…By modelling the uncertainties involved, we provide a probabilistic description of the fitted laser line, enabling quality assessment of the measurement and integration into subsequent algorithms. We also offer insights into the optimal number of board positions and the number of repeated laser dot measurements, which are both the main time-consuming factors in practice. …”
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Medical Management of Glaucoma in the 21st Century from a Canadian Perspective by Paul Harasymowycz, Catherine Birt, Patrick Gooi, Lisa Heckler, Cindy Hutnik, Delan Jinapriya, Lesya Shuba, David Yan, Radmila Day

“…Recent developments in this therapeutic field require revisiting treatment algorithms and integration of traditional and novel approaches in order to ensure optimal visual outcomes. …”
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Rapid and accurate multi-phenotype imputation for millions of individuals by Lin-Lin Gu, Hong-Shan Wu, Tian-Yi Liu, Yong-Jie Zhang, Jing-Cheng He, Xiao-Lei Liu, Zhi-Yong Wang, Guo-Bo Chen, Dan Jiang, Ming Fang

“…In the present study, we have developed a multi-phenotype imputation method based on mixed fast random forest (PIXANT) by leveraging efficient machine learning (ML)-based algorithms. We demonstrate by extensive simulations that PIXANT is reliable, robust and highly resource-efficient. …”
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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
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Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview by Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi

“…The paper then delves into the integration of AI techniques, including ML, deep learning, and optimization algorithms, into CEM frameworks. Emphasis is placed on how AI enhances the accuracy and efficiency of EM simulations, enabling rapid analysis and optimization of power system components and configurations. …”
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AI-Based Advanced Approaches and Dry Eye Disease Detection Based on Multi-Source Evidence: Cases, Applications, Issues, and Future Directions by Mini Han Wang, Lumin Xing, Yi Pan, Feng Gu, Junbin Fang, Xiangrong Yu, Chi Pui Pang, Kelvin Kam-Lung Chong, Carol Yim-Lui Cheung, Xulin Liao, Xiaoxiao Fang, Jie Yang, Ruoyu Zhou, Xiaoshu Zhou, Fengling Wang, Wenjian Liu

“…The research conducts a comprehensive review of datasets, diagnostic evidence, and standards, as well as advanced algorithms in AI-based DED detection over the past five years. …”
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Exploring the Links Between Employee Resilience and Career Satisfaction: The Roles of Job Crafting and STARA Awareness by Dilek Yılmaz Börekçi, Cem Güney Özveren, Merve Gerçek

“…Also, this study examines whether smart technology, artificial intelligence, robotics, and algorithms (STARA) awareness moderates the relationship between those variables. …”
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Topologically consistent regression modeling exemplified for laminar burning velocity of ammonia-hydrogen flames by Hui Du, Tianyu Wang, Haogang Wei, Guy Y. Cornejo Maceda, Bernd R. Noack, Lei Zhou

“…We expect that the proposed topologically consistent regression modeling will enjoy many more applications in model calibration, model selection and optimization algorithms.…”
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An exploratory study of interpretability for face presentation attack detection by Ana F. Sequeira, Tiago Gonçalves, Wilson Silva, João Ribeiro Pinto, Jaime S. Cardoso

“…Abstract Biometric recognition and presentation attack detection (PAD) methods strongly rely on deep learning algorithms. Though often more accurate, these models operate as complex black boxes. …”
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DEVELOPMENT OF A GRAVITATIONAL AND PENDULUM SOLAR TRACKER FOR STANDALONE PHOTOVOLTAIC PANELS by Jorge A. Wissmann, Carlos E. C. Nogueira, Marcelo M. M. Zampiva, Jair A. C. Siqueira, Doglas Bassegio

“…A tracking prototype was developed whose structure is classified as chronological due to its fixed rotation, manual as it requires daily adjustment, single-axis azimuthal, and "analog" as it lacks motors, sensors, or algorithms. The results showed that the developed tracking prototype achieved a 9.69% energy production increase during the research period, with peaks of 35.51% on sunny days, and a significant efficiency improvement during the early morning and late afternoon. …”
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Fuzzy-Based PID Motion Control for Inhalation-Type Floating Garbage Cleaning Robots by Zheng Li, Xiaoxiao Mi, Michael V. Basin, Hongzheng Zeng

“…Furthermore, the cascade PID and fuzzy logic control algorithms for the designed cleaning robot are also developed. …”
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An ultrasonic-AI hybrid approach for predicting void defects in concrete-filled steel tubes via enhanced XGBoost with Bayesian optimization by Shuai Wan, Shipan Li, Zheng Chen, Yunchao Tang

“…This hybrid approach offers high efficiency and accuracy for void defect detection in CFST, providing a novel solution that leverages the strengths of both traditional ultrasonic methods and artificial intelligence algorithms. The method not only detects the presence of void defects but also quantifies their extent, advancing CFST inspection from qualitative analysis to quantitative assessment.…”
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Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse by Jiangang Chen, Zhixing Wen, Fan Yang, Renji Bian, Qirui Zhang, Er Pan, Yuelei Zeng, Xiao Luo, Qing Liu, Liang-Jian Deng, Fucai Liu

“…Our results are promising towards building refreshable hardware platforms based on ferroelectric-ionic combination capable of accommodating more efficient algorithms and architectures.…”
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Automated Zebrafish Spine Scoring System Based on Instance Segmentation by Wen-Hsin Chen, Tien-Ying Kuo, Yu-Jen Wei, Cheng-Jung Ho, Ming-der Lin, Huan Chen, Wen-Ying Lin

“…Additionally, we developed a system using these detection algorithms to automatically calculate spinal vertebra growth scores, providing a valuable tool for researchers to assess drug efficacy.…”
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Case of acute drug-induced hepatitis after halothane anesthesia by I. Yu. Pirogova, Ye. V. Berestova, O. Yu. Bastrikov, Ye. B. Kovaleva, T. P. Petukhova, M. V. Guseva, I. A. Gubina, I. V. Rezepin, S. P. Sinitsyn

“…Application of differential diagnostics algorithms and prognostic scales at drug-induced liver disease helps clinician to choose proper treatment approach at specific stage.…”
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