Investigation of the bioactive constituents of Goniothalamus wightii: Antioxidant, anti-inflammation, antimicrobial, anticancer, and molecular docking studies

“…Further, this compound was evaluated computationally using Schrödinger software. …”
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An Efficient and Cost-Effective Vehicle Detection and Tracking System for Collision Avoidance in Foggy Weather by Naeem Raza, Muhammad Asif Habib, H. M. Sajid Imran, Abdul Qayum, Sajida Perveen, Sohail Jabbar, Shahzad Sarwar, Mudassar Ahmad

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Development and validation of a conventional MRI-based model to predict cerebral palsy in infants (aged 6–24 months) with periventricular white matter injury: a multicentre, retros... by Tingting Huang, Jie Zheng, Heng Liu, Haoxiang Jiang, Chao Jin, Xianjun Li, Liang Wu, Lei Zhang, Congcong Liu, Yitong Bian, Miaomiao Wang, Fan Wu, Xin Zhao, Shengli Shi, Fei Wang, Mengxuan Li, Linlin Zhu, Yuying Feng, Gang Zhang, Jian Yang

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Energy-efficient object tracking algorithm in wireless sensor networks by REN Qian-qian1, LI Jian-zhong1, LI Jin-bao2, ZHU Jing-hua1

“…An energy efficient tracking algorithm（EETA） was proposed,which reduced energy consumption in sensor network by introducing an event-driven sleep scheduling mechanism.EETA gave tradeoffs between real time and energy efficiency by letting a maximum number of sensor nodes outside tracing area stay asleep,and reduced the computation complexity to O（N） by formulating the location predication of an object as a state estimation problem of sensor node,in-stead of building a complex model of its trajectory.Meanwhile,EETA located the object by using adaptive weighted cen-troid algorithm with complexity of O（N）.The method was evaluated with a network of 64 sensor nodes,as well as an analytical probabilistic model.The results demonstrate the effectiveness of the method.…”
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COMPARATIVE ANALYSIS OF COLORING ALGORITHMS FOR ORDINARY WEIGHTED GRAPH by Andrey Sergeyevich Merzlenko, Valery Grigoryevich Kobak

“…All algorithms are considered with examples. To evaluate the algorithm efficiency, a computational experiment on several hundred of randomly generated graphs is set up. …”
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Predicting Pharmacokinetics in Rats Using Machine Learning: A Comparative Study Between Empirical, Compartmental, and PBPK‐Based Approaches by Moritz Walter, Ghaith Aljayyoussi, Bettina Gerner, Hermann Rapp, Christofer S. Tautermann, Pavel Balazki, Miha Skalic, Jens M. Borghardt, Lina Humbeck

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Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques by Marcelo Forte, Cindy P. Guzman, Lucas Pereira, Hugo Morais

“…This paper presents a comparative analysis of various clustering methods for deriving consumer electricity profiles, aiming to identify the most suitable techniques for big time-series data and to evaluate how the granularity of the data influences the final profiles. …”
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Matching patients to clinical trials with large language models by Qiao Jin, Zifeng Wang, Charalampos S. Floudas, Fangyuan Chen, Changlin Gong, Dara Bracken-Clarke, Elisabetta Xue, Yifan Yang, Jimeng Sun, Zhiyong Lu

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Damping profile learning for human-robot collaboration using Bayesian optimization with a task success rate model by Liem Duc TRAN, Tasuku YAMAWAKI, Masahito YASHIMA

“…The proposed method employs Bayesian optimization to appropriately adjust the damping profile, even when the cost function and unknown constraints are computationally expensive to evaluate, which is a common scenario in human-robot collaboration. …”
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Parsimonious and explainable machine learning for predicting mortality in patients post hip fracture surgery by Fouad Trad, Bassel Isber, Ryan Yammine, Khaled Hatoum, Dana Obeid, Mohammad Chahine, Rachid Haidar, Ghada El-Hajj Fuleihan, Ali Chehab

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Fast real-time detection and counting of thrips in greenhouses with multi-level feature attention and fusion by Zhangzhang He, Xinyue Chen, Ying Gao, Yu Zhang, Yuheng Guo, Tong Zhai, Xiaochen Wei, Huan Li, Haipeng Zhu, Yongkun Fu, Zhiliang Zhang, Zhiliang Zhang

“…The model size is only 21.13M, with a computational cost of 114.36 GFLOPs. Compared to existing methods, TCD-Net achieves higher thrips counting and detection accuracy with lower computational complexity. …”
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An Enhanced PSO-Based Clustering Energy Optimization Algorithm for Wireless Sensor Network by C. Vimalarani, R. Subramanian, S. N. Sivanandam

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Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model by Fatiha Bousbahi, Muna Saleh Alrazgan

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ZK-STARK: Mathematical Foundations and Applications in Blockchain Supply Chain Privacy by Arade Madhuri S., Pise Nitin N.

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An 18–44 GHz Power Amplifier in 90-nm GaN Using Active Impedance Matching by Adam Der, Taylor Barton

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A novel approach for risk assessment optimization in big data platforms using SMT solvers by Sherif M. Saif, Amany AbdElSamea

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On the Impact of Labeled Sample Selection in Semisupervised Learning for Complex Visual Recognition Tasks by Eftychios Protopapadakis, Athanasios Voulodimos, Anastasios Doulamis

“…., graph-based approaches (harmonic functions and anchor graph), low-density separation, and smoothness-based multiple regressors, and evaluated in two real-world challenging computer vision applications: image-based concrete defect recognition on tunnel surfaces and video-based activity recognition for industrial workflow monitoring.…”
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Federated intelligence for smart grids: a comprehensive review of security and privacy strategies by Raseel Z. Alshamasi, Dina M. Ibrahim

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Lightweight Anomaly-Based Detection Using Cuckoo Search Algorithm and Decision Tree to Mitigate Man-in-the-Middle Attacks in DNS by Ramahlapane Lerato Moila, Mthulisi Velempini

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Fairness-Aware Graph Neural Networks for ICU Length of Stay Prediction in IoT-Enabled Environments by Angelos Christos Maroudis, Konstantina Karathanasopoulou, Charithea C. Stylianides, George Dimitrakopoulos, Andreas S. Panayides

“…., medications, procedures, vitals, conditions) and learned feature-driven edge formation. We evaluate our approach on MIMIC-IV across diverse time-series formats and demonstrate its superiority over top performing LOS prediction methods, showcasing notable performance improvements while maintaining comparable computational complexity. …”
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