Towards the Development of the Clinical Decision Support System for the Identification of Respiration Diseases via Lung Sound Classification Using 1D-CNN by Syed Waqad Ali, Muhammad Munaf Rashid, Muhammad Uzair Yousuf, Sarmad Shams, Muhammad Asif, Muhammad Rehan, Ikram Din Ujjan

“…The ICBHI 2017 Breathing Sound Database, which contains samples of different breathing sounds, was used in this research. During pre-processing, audio clips were resampled to a uniform rate, and breathing cycles were segmented into individual instances of the lung sound. …”
Get full text

A novel multi-task learning model based on Transformer-LSTM for wind power forecasting by Rongquan Zhang, Siqi Bu, Yuxia Zheng, Gangqiang Li, Xiupeng Wan, Qiangqiang Zeng, Min Zhou

“…Current wind power forecasting research usually focuses on single-task deterministic forecasting, but there is less research on multi-task learning for multi-step deterministic and probabilistic forecasting. …”
Get full text

Deep Learning Architecture to Infer Kennedy Classification of Partially Edentulous Arches Using Object Detection Techniques and Piecewise Annotations by Zohaib Khurshid, MRes, FDTFEd, FHEA, Maria Waqas, PhD, Shehzad Hasan, PhD, Shakeel Kazmi, PhD, Muhammad Faheemuddin, FCPS

“…Conclusions: Despite a small dataset, satisfactory results were achieved through tailored hyperparameters and a piecewise annotation scheme.…”
Get full text

Price Forecast of Treasury Bond Market Yield: Optimize Method Based on Deep Learning Model by Weiying Ping, Yuwen Hu, Liangqing Luo

“…Accurate forecasting of the treasury bond market is beneficial for financial institutions to formulate investment research strategies and for national managers to build a modern financial system. …”
Get full text

A natural language processing approach to support biomedical data harmonization: Leveraging large language models. by Zexu Li, Suraj P Prabhu, Zachary T Popp, Shubhi S Jain, Vijetha Balakundi, Ting Fang Alvin Ang, Rhoda Au, Jinying Chen

“…<h4>Background</h4>Biomedical research requires large, diverse samples to produce unbiased results. …”
Get full text

Enhancing personalized learning: AI-driven identification of learning styles and content modification strategies by Md. Kabin Hasan Kanchon, Mahir Sadman, Kaniz Fatema Nabila, Ramisa Tarannum, Riasat Khan

“…A custom dataset has been constructed in this research comprising approximately 506 samples and 22 features utilizing the Moodle learning management system (LMS), successfully categorizing students into their respective learning styles. …”
Get full text

Detection of <i>Aspergillus flavus</i> in Figs by Means of Hyperspectral Images and Deep Learning Algorithms by Cristian Cruz-Carrasco, Josefa Díaz-Álvarez, Francisco Chávez de la O, Abel Sánchez-Venegas, Juan Villegas Cortez

“…The resulting images were fed to a convolutional neural network. The hyperparameters of the proposed models were adjusted based on the parameter tuning process that was performed. …”
Get full text

A novel Data Extraction Framework Using Natural Language Processing (DEFNLP) techniques by Tayyaba Hussain, Muhammad Usman Akram, Anum Abdul Salam

“…Until now such an issue having large dataset which belongs to numerous research areas has not been addressed. This approach is domain independent and therefore can be applied to all kind of case studies and scenarios which require data extraction. …”
Get full text

IndoHerb: Indonesia medicinal plants recognition using transfer learning and deep learning by Muhammad Salman Ikrar Musyaffa, Novanto Yudistira, Muhammad Arif Rahman, Ahmad Hoirul Basori, Andi Besse Firdausiah Mansur, Jati Batoro

“…The Indonesia Medicinal Plant Dataset utilized in this research is openly accessible at the following link: https://github.com/Salmanim20/indomedicinalplant.…”
Get full text

Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest by Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…Abstract Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their extensive use in sensitive fields like military surveillance, healthcare, environmental monitoring, and smart cities. …”
Get full text

Sentiment analysis using long short term memory and amended dwarf mongoose optimization algorithm by Haisheng Deng, Ahmed Alkhayyat

“…Due to the specific attributes of this type of data, including length of text, spelling errors, and abbreviations, unconventional methods and multiple steps are required for effectively analyzing sentiment in such a complex environment. In this research, two distinct word embedding models, GloVe and Word2Vec, were utilized for vectorization. …”
Get full text

Optimizing Concrete Mix Designs With Synthetic Data Generation and Machine Learning Prediction Models by Mohanad A. Deif, Hani Attar, Waleed Alomoush, Mohamed A. Hafez

Get full text

A Multi-Strategy Optimized Framework for Health Status Assessment of Air Compressors by Dali Hou, Xiaoran Wang

“…The Ivy algorithm (IVYA) is introduced to optimize the BiLSTM’s hyperparameters to improve classification accuracy and avoid local optima. …”
Get full text

LtU-ILI: An All-in-One Framework for Implicit Inference in Astrophysics and Cosmology by Matthew Ho, Deaglan J. Bartlett, Nicolas Chartier, Carolina Cuesta-Lazaro, Simon Ding, Axel Lapel, Pablo Lemos, Christopher C. Lovell, T. Lucas Makinen, Chirag Modi, Viraj Pandya, Shivam Pandey, Lucia A. Perez, Benjamin Wandelt, Greg L. Bryan

“…The pipeline includes software for implementing various neural architectures, training schema, priors, and density estimators in a manner easily adaptable to any research workflow. It includes comprehensive validation metrics to assess posterior estimate coverage, enhancing the reliability of inferred results. …”
Get full text

BO-CLAHE enhancing neonatal chest X-ray image quality for improved lesion classification by Jiwon Han, Byungmin Choi, Jae Young Kim, Yeonjoon Lee

“…However, despite extensive research, the process of setting CLAHE’s hyperparameters still relies on a brute force, manual approach, making it inefficient. …”
Get full text

Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare data by P R Rijnbeek, Patrick Ryan, Jenna M Reps

Get full text

LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks by Shaymaa E. Sorour, Mohammed Aljaafari, Amany M. Shaker, Ahmed E. Amin

“…The framework dynamically optimizes hyperparameters using the Joint Strategy Optimization (JSO) algorithm, ensuring efficient model adaptation across heterogeneous IoT networks. …”
Get full text

Matching Method for Power Grid Fault Handling Plan Based on Semantic Enhancement by Fei MENG, Jiangpeng LI, Tao LI, Jianzhong XU, Haiyang GAO, Yongtian QIAO

Get full text

DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

Get full text

Magnetic Resonance Imaging for Breast Cancer Classification Using Convolutional Neural Networks by Adiyah Mahiruna, Rachmat Destriana, Rahmat Riansyah

“…Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the urgent need for accurate diagnostic methods. This research addresses the challenges of early detection by leveraging Convolutional Neural Networks (CNNs) for the classification of Magnetic Resonance Imaging (MRI) data. …”
Get full text