APPA: An adaptation path planning algorithm for real-time obstacle avoidance in multi-robot systems by Jianzhi Jin, Mou Wu, Ping Fan, Guonian Jin

“…Experimental results show that APPA significantly outperforms baseline algorithms such as ORCA, ALAN, and PRIMAL. While deep reinforcement learning approaches like ALAN excel in static environments through neural network-based policy learning, APPA’s non-parametric uncertainty modeling provides superior adaptability in dynamic scenarios with unpredictable obstacle patterns, achieving 94% success rate compared to ALAN’s 52% in high-density dynamic environments. …”
Get full text

Nomogram for predicting mild cognitive impairment in Chinese elder CSVD patients based on Boruta algorithm by Yanzi Huang, Wendie Huang, Xiaoming Ma, Guoyin Zhao, Jingwen Kang, Huajie Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Jingwei Li, Shiying Sheng, Fengjuan Qian

“…Our goal is to develop a nomogram for early identification of PSCI and PSCID in stroke patients.MethodsIn a retrospective cohort, chained data imputation was performed to ensure no statistical differences from the original dataset. …”
Get full text

Improved breast cancer risk prediction using chromosomal-scale length variation by Yasaman Fatapour, James P. Brody

“…Methods We used the NIH All of Us dataset to compile a dataset with 4,533 women who have been diagnosed with breast cancer (including 440 who self-identified as Black) and 44,518 women who have not. …”
Get full text

Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…A new conceptual design has been created for network configuration, deployment, and functions. …”
Get full text

Post-Transplant Liver Monitoring Utilizing Integrated Surface-Enhanced Raman and AI in Hepatic Ischemia-Reperfusion Injury Animal Model by Lee S, Kwon H, Oh J, Kim KR, Hwang J, Kang S, Lee K, Namgoong JM, Kim JK

“…Raman signals obtained via SERS chips, which selectively filter nano-biomarkers and enhance signals, were analyzed using machine learning algorithms.Results: The PC-LDA derived from spectra achieved an accuracy of 93.13%, while a machine learning algorithm based on PC-derived PLS-DA improved accuracy to 98.75%.Discussion: Our findings emphasize the potential of combining SERS with AI to detect and specifically identify dysfunction due to liver damage early, potentially advancing patient management in liver transplantation. …”
Get full text

A location-constrained crowdsensing task allocation method for improving user satisfaction by Huihui Chen, Bin Guo, Zhiwen Yu, Liming Chen

Get full text

Using crafted features and polar bear optimization algorithm for short-term electric load forecast system by Mansi Bhatnagar, Gregor Rozinaj, Radoslav Vargic

“…This paper introduces the crafting of various features for hourly electric load forecasting on three different datasets using four different models XGBoost, LightGBM, Bi-LSTM, and Random Forest. …”
Get full text

Identifying Influential Nodes Based on Evidence Theory in Complex Network by Fu Tan, Xiaolong Chen, Rui Chen, Ruijie Wang, Chi Huang, Shimin Cai

“…Secondly, Dempster–Shafer evidence theory processes conflicting evidence using Dempster’s rule of combination, enhancing the reliability of decision-making. …”
Get full text

Automated HEART score determination via ChatGPT: Honing a framework for iterative prompt development by Conrad W. Safranek, Thomas Huang, Donald S. Wright, Catherine X. Wright, Vimig Socrates, Rohit B. Sangal, Mark Iscoe, David Chartash, R. Andrew Taylor

“…To assess whether iterative prompt design could improve the LLMs’ ability to extract complex clinical concepts and apply rule‐based logic to translate them to HEART subscores, we monitored diagnostic performance during prompt iteration. …”
Get full text

EVALUATION OF PARTICLE SWARM ALGORITHM MODIFICATIONS ON SUPPORT VECTOR MACHINE HYPERPARAMETER OPTIMIZATION TUNING FOR RAIN PREDICTION by Aina Latifa Riyana Putri, Joko Riyono, Christina Eni Pujiastuti, Supriyadi

“…Robustness analysis reveals all PSO-SVM variants maintain stable performance despite variations in dataset subset sizes, with accuracy stabilizing after a spike at 20%.. …”
Get full text

A Study on an Improved Generative Adversarial Network Model for Super-Resolution Image Reconstruction by Ximin Qu, Cheng Peng

“…Secondly, we implement spectral normalization for the discriminator and incorporate spectrally normalized residual blocks into the discriminator to strengthen its discriminative capability. …”
Get full text

ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

“…Accurate segmentation of lung nodules is crucial for the early detection of lung cancer and other pulmonary diseases. …”
Get full text

Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization by Long Tsang, Mahdi Akbari, Pouyan Fakharian

“…When granular soils get saturated, liquefaction may occur during an earthquake, which can have devastating effects. …”
Get full text

A novel approach to node coverage enhancement in wireless sensor networks using walrus optimization algorithm by V. Saravanan, Indhumathi G, Ramya Palaniappan, Narayanasamy P, M. Hema Kumar, K. Sreekanth, Navaneethan S

“…By incorporating metaheuristics and optimizing node coverage, WSNs can become more resilient and robust, leading to the development of self-adapting, self-organizing networks capable of efficiently covering dynamic and diverse environments. …”
Get full text

Research on the construction of English vocabulary learning recommendation system based on multi-objective crow search algorithm by Mengli Li

“…The system performs well in providing personalized recommendations and improving learning results, but it still needs to be optimized in the depth and breadth of content.…”
Get full text

Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm by Fang Liu, Xiaoli Liu, Changyou Yin, Hongrong Wang

“…Gastrointestinal bleeding (GIB) indicates an issue in the digestive system. Blood can be found in feces or vomiting; however, it is not always visible, even if it makes the stool appear darkish or muddy. …”
Get full text

Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis by M. C. Rakshith, Raghavendra C. Kamath, G. S. Vijay

“…The same dataset is used to train both ANN and Random Forest algorithms. …”
Get full text

Wireless Sensor Networks Focusing on Predicting Average Localization Error through Machine Learning Applications by Ioanna Gounari, Mattheos Kanzilieris

“…During training, the DTRT model achieved an R² value of 0.990, indicating its superior prediction accuracy. …”
Get full text

Improving the security and quality of real-time multimedia transmission in cyber-physical-social systems by Qindong Sun, Han Cao, Wenjing Qi, Jingpeng Zhang

“…To defend the attack of inserting fake video into real-time video, we also design a detection algorithm based on time-related token. …”
Get full text

Error Covariance Analyses for Celestial Triangulation and Its Optimality: Improved Linear Optimal Sine Triangulation by Abdurrahim Muratoglu, Halil Ersin Söken, Uwe Soergel

“…The findings provide valuable insights for autonomous navigation system design and mission planning, offering a quantitative framework for assessing and optimizing celestial triangulation performance in deep space missions.…”
Get full text