Accuracy of ChatGPT-3.5, ChatGPT-4o, Copilot, Gemini, Claude, and Perplexity in advising on lumbosacral radicular pain against clinical practice guidelines: cross-sectional study by Giacomo Rossettini, Giacomo Rossettini, Silvia Bargeri, Chad Cook, Chad Cook, Chad Cook, Stefania Guida, Alvisa Palese, Lia Rodeghiero, Paolo Pillastrini, Paolo Pillastrini, Andrea Turolla, Andrea Turolla, Greta Castellini, Silvia Gianola

Get full text

Optimizing Large Language Models for Arabic Healthcare Communication: A Focus on Patient-Centered NLP Applications by Rasheed Mohammad, Omer S. Alkhnbashi, Mohammad Hammoudeh

“…In this study, a panel of medical experts evaluated responses generated by LLMs, including ChatGPT, for Arabic healthcare inquiries, rating their accuracy between 85% and 90%. After fine tuning ChatGPT with data from the Altibbi platform, accuracy improved to a range of 87% to 92%. …”
Get full text

Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data by Ryo Fujita, Yoshifumi Amamoto, Jun Kikuchi

“…Although machine learning approaches such as Bayesian optimization (BO) and convolutional neural networks (CNNs) are significant, there have been almost no reports on effective material design based on low-field nuclear magnetic resonance (NMR) data. This study proposes a method for optimizing polymer process conditions using CNN-based features extracted from relaxation curves. …”
Get full text

A Hybrid Deep Learning Approach for Integrating Transient Electromagnetic and Magnetic Data to Enhance Subsurface Anomaly Detection by Zhijie Qu, Yuan Gao, Shiyan Li, Xiaojuan Zhang

“…Trained on synthetic datasets generated through forward modeling, MagEMNet leverages the adaptive moment estimation (Adam) optimizer and a dynamic learning rate strategy to enhance convergence. Our results show that MagEMNet not only outperforms traditional inversion techniques in terms of accuracy but also accelerates the inversion process, offering an efficient solution for real-world applications, including unexploded ordnance (UXO) detection and subsurface resource assessment.…”
Get full text

Radiomics and AI-Based Prediction of MGMT Methylation Status in Glioblastoma Using Multiparametric MRI: A Hybrid Feature Weighting Approach by Erdal Tasci, Ying Zhuge, Longze Zhang, Holly Ning, Jason Y. Cheng, Robert W. Miller, Kevin Camphausen, Andra V. Krauze

Get full text

Blockchain Enabled Secure Medical Data Transmission and Diagnosis Using Golden Jackal Optimization Algorithm with Deep Learning by Kiruthikadevi Kulandaivelu, Sivaraj Rajappan, Vijayakumar Murugasamy

“…With this motivation, this article proposes a new BC with a golden jackal optimization algorithm enabled DL assisted secure medical data transmission and diagnoses (BGJOA-DLSMTD). The objective of the BGJOA-DLSMTD algorithm is to analyze the disease with a high detection rate and securely transfer the medical images. …”
Get full text

A fuzzy recurrent neural network for driver fatigue detection based on steering-wheel angle sensor data by Zuojin Li, Qing Yang, Shengfu Chen, Wei Zhou, Liukui Chen, Lei Song

“…Aiming at how to extract more abstract and deep features in the driver’s direction operation data in the robust feature learning, this article constructs a fuzzy recurrent neural network model, which includes input layer, fuzzy layer, hidden layer, and output layer. …”
Get full text

Analysis of Air Pollutant Emission Characteristics of Ultra-low Emission Coal-Fired Units Based on CEMS Data by Litao QU, Xiaohui QI, Dexin WANG, Honghai YU

Get full text

Research on ATT-BiLSTM-Based Restoration Method for Deflection Monitoring Data of a Steel Truss Bridge by Yongjian Chen, Rongzhen Liu, Jianlin Wang, Fan Pan, Fei Lian, Hui Cheng

“…Given the intricate operating environment of steel truss bridges, data anomalies are frequently initiated by faults in the sensor monitoring system itself during the monitoring process. …”
Get full text

NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Georgios Kampiotis, Ioanna Kalliampakou

“…The experimental setup involves 10 categories of data from 2000 sources, sending data at a rate of 512 Mbps to 720 Mbps. …”
Get full text

Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data by Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez

“…<b>Results</b>: The final GBR model, with a 0.01 learning rate, 5 max depth, and 350 estimators, predicted topsoil moisture with an average mean squared error (MSE) of 0.027 and a maximum difference between observed and predicted data of 20.09% in a two-year series (May 2022–June 2024).…”
Get full text

Quantifying prevalence and risk factors of HIV multiple infection in Uganda from population-based deep-sequence data. by Michael A Martin, Andrea Brizzi, Xiaoyue Xi, Ronald Moses Galiwango, Sikhulile Moyo, Deogratius Ssemwanga, Alexandra Blenkinsop, Andrew D Redd, Lucie Abeler-Dörner, Christophe Fraser, Steven J Reynolds, Thomas C Quinn, Joseph Kagaayi, David Bonsall, David Serwadda, Gertrude Nakigozi, Godfrey Kigozi, M Kate Grabowski, Oliver Ratmann, with the PANGEA-HIV Consortium and the Rakai Health Sciences Program

“…People living with HIV can acquire secondary infections through a process called superinfection, giving rise to simultaneous infection with genetically distinct variants (multiple infection). …”
Get full text

A privacy-preserved horizontal federated learning for malignant glioma tumour detection using distributed data-silos. by Shagun Sharma, Kalpna Guleria, Ayush Dogra, Deepali Gupta, Sapna Juneja, Swati Kumari, Ali Nauman

“…Initially, for developing this model, the collection of the MRI scans of non-tumour and glioma tumours has been done, which are further pre-processed by performing data balancing and image resizing. …”
Get full text

Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection by Yongsik Kim, Su-Youn Hong, Sungjin Park, Huy Kang Kim

“…The proposed framework demonstrated a high accuracy rate of 96.5% average when faced with different attacks. …”
Get full text

Data-Driven Decision-Making for Flexible Natural Gas Allocation Under Uncertainties: An Agent-Based Modelling Approach by Noor Yusuf, Ahmed AlNouss, Roberto Baldacci, Tareq Al-Ansari

“…However, the economic scenario of case 3 demonstrates the second-highest rate of emissions (0.66 CO2-eq t/y), following the hydrogen-rich process routes in case 2. …”
Get full text

DRGNet: Enhanced VVC Reconstructed Frames Using Dual-Path Residual Gating for High-Resolution Video by Zezhen Gai, Tanni Das, Kiho Choi

“…However, during the encoding process, compression artifacts and the loss of visual details remain unavoidable challenges, particularly in high-resolution video processing, where the massive amount of image data tends to introduce more artifacts and noise, ultimately affecting the user’s viewing experience. …”
Get full text

Context-Aware Deep Learning Model for Yield Prediction in Potato Using Time-Series UAS Multispectral Data by Suraj A. Yadav, Xin Zhang, Nuwan K. Wijewardane, Max Feldman, Ruijun Qin, Yanbo Huang, Sathishkumar Samiappan, Wyatt Young, Francisco G. Tapia

“…</italic>) growing seasons under varied nitrogen (N)-rates ranging from 0 to 639 kg/ha. The raw data were preprocessed using Pix4Dmapper and the quantum geographic information system. …”
Get full text

Climate Study of Changes of Major Water Resources in Qom Province Using Satellite Data and Remote Sensing Technologies by Nima Rohani, Taher Rajaee, Barat Mojaradi, Ehsan Jabbari, Seyed Ahmad Shafiei Darabi, Mehran Heidari Bani

“…These images were pre-processed, processed and post-processed. Classification indices of four classes of water, salt land, common soil land and vegetation were applied and localized in Qom province. …”
Get full text

Impact of log file source and data frequency on accuracy of log file-based patient specific quality assurance by Akbar Azzi, Gerd Heilemann, Dietmar Georg, Supriyanto Ardjo Pawiro, Terry Mart, Wolfgang Lechner

“…Log file based PSQA can be used to increase the efficiency of this process. This study compared the dosimetric accuracy of high-frequency linear accelerator (Linac) log files and low-frequency log data stored in the oncology information system (OIS). …”
Get full text

Optimizing Risk-based Stock Return Prediction in Tehran Stock Exchange industries: A Data Envelopment Analysis by Hamidreza Akhbari, Heydar Mohammadzadeh Salteh, Rasoul Baradaran Hassanzadeh, Mehdi Zeynali

“…Accordingly, the present study aims to optimize the forecast of risk-based stock returns in selected industries of the Tehran Stock Exchange. MethodsData analysis was performed in two phases. In the first phase, the data were estimated using a combined data method and AR (1) autoregressive process, from 2010 to 2019. …”
Get full text