Comprehensive Review of Multimodal Medical Data Analysis: Open Issues and Future Research Directions by Shashank Shetty, Ananthanarayana V S, Ajit Mahale

“…Acquisition of data from pictures, archives, communication systems, electronic health records, online documents, radiology reports and clinical records of different styles with specific numerical information has given rise to the concept of multimodality and the need for machine learning and deep learning techniques in the analysis of the healthcare system. …”
Get full text

An Analysis of Student’s Difficulties in Learning Mathematics at Madrasah Ibtidaiyah by Atin Supriatin, Aeni Latifah, Siti Annisah

“…The tests given to the research sample have met the criteria of validity and reliability. Data analysis techniques use descriptive statistics in the form of tables and graphs through the calculation of averages and percentages. …”
Get full text

Climate Change Analysis in Malaysia Using Machine Learning by Anishalache Subramanian, Naveen Palanichamy, Kok-Why Ng, Sandhya Aneja

Get full text

Analysis of the Utilization of Machine Learning to Map Flood Susceptibility by Ali Pourzangbar, Peter Oberle, Andreas Kron, Mário J. Franca

“…ABSTRACT This article provides an analysis of the utilization of Machine Learning (ML) models in Flood Susceptibility Mapping (FSM), based on selected publications from the past decade (2013–2023). …”
Get full text

Design and analysis of quantum machine learning: a survey by Linshu Chen, Tao Li, Yuxiang Chen, Xiaoyan Chen, Marcin Wozniak, Neal Xiong, Wei Liang

“…However, with the exponential growth of data amount and the increase of model complexity, the processing efficiency of machine learning declines rapidly. …”
Get full text

Analysis of Student Learning Results on Work and Energy Materials by Marina, Padmi Adika

Get full text

Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…The extreme learning machine (ELM) method is used for the product review classification. …”
Get full text

Towards Automated Error Analysis: Learning to Characterize Errors by Tong Gao, Shivang Singh, Raymond Mooney

Get full text

Machine Learning Analysis of Informal Minibus Taxi Driving by Cele Nomfundo, Kibangou Alain, Musakwa Walter

“…This paper presents a machine learning analysis of driving behaviors in informal minibus taxis, focusing on both controlled and uncontrolled environments. …”
Get full text

Enhancing Decision-Making and Data Management in Healthcare: A Hybrid Ensemble Learning and Blockchain Approach by Geetanjali Rathee, Razi Iqbal

“…Furthermore, the excessive delays in information processing pose a critical challenge to making accurate decisions in the context of big data. The aim of this paper is to propose an effective approach for accurate decision-making and analysis of the vast volumes of data generated by intelligent devices in the healthcare sector. …”
Get full text

Classification and Analysis of Employee Feedback with Deep Learning Algorithms by Beyza Eken, Serap Çakar Kaman, Gökhan Yiğidefe

Get full text

An Analysis of Semi-Supervised Machine Learning in Electrical Machines by V. Raju Arvind, S. Shyamsharan, Poorvajaa Gurunathan, Krishna Kumba, Nawin Ra

Get full text

Digital Learning Platform and Students Satisfaction: Regression Analysis by Farah Syazreena Azmi, Norfadzilah Abdul Razak, Ayu Rohaidah Ghazali

Get full text

DECODING DIGITAL LEARNING: A CART ANALYSIS INSIGHT by Sri Harini, Angga Dwi Mulyanto, Fachrur Rozi

Get full text

Design of a TSR-based project learning strategy for biochemistry undergraduate teaching and research labs: a case study by Camille R. Reaux, Shelby A. Meche, Jordan M. Grider, Soundharya Dhanabal, Tarikul I. Milon, Feng Chen, Wu Xu

Subjects: Get full text

Comparative Analysis of Machine Learning Algorithms for Antenna Alignments by Mohammad Al Bataineh, Dana I. Abu Abdoun, Mahmoud Al Ahmad

“…This is the first work to propose a data-driven antenna alignment method based solely on S-parameter analysis, offering a cost-effective and scalable alternative to complex imaging or optical systems. …”
Get full text

Adjacent Inputs With Different Labels and Hardness in Supervised Learning by Sebastian A. Grillo, Julio Cesar Mello Roman, Jorge Daniel Mello-Roman, Jose Luis Vazquez Noguera, Miguel Garcia-Torres, Federico Divina, Pedro Esteban Gardel Sotomayor

“…An important aspect of the design of effective machine learning algorithms is the complexity analysis of classification problems. …”
Get full text

The Exploration of Student Emotion Experience and Learning Experience in E-learning Platform by Fitra Abdurrachman Bachtiar, Riza Setiawan Soetedjo, Joseph Ananda Sugihdarma, Retno Indah Rokhmawati, Lailil Muflikhah

“…The sequential pattern mining technique was used to extract the data, exploratory data analysis was conducted to visualize the emotional trajectory during the learning process, and regression analysis was used to explain the relationship between students' emotional learning experiences. …”
Get full text

Exploring the application of knowledge transfer to sports video data by Shahrokh Heidari, Gibran Zazueta, Riki Mitchell, David Arturo Soriano Valdez, Mitchell Rogers, Mitchell Rogers, Jiaxuan Wang, Ruigeng Wang, Marcel Noronha, Alfonso Gastelum Strozzi, Mengjie Zhang, Patrice Jean Delmas, Patrice Jean Delmas

“…However, more efficient methods are needed that can be applied across different sports without incurring high data annotation or model training costs. A major limitation of training deep learning models on large datasets is the significant resource requirement for reproducing results. …”
Get full text

Adopting an Open-Source Processing Strategy for LiDAR Drone Data Analysis in Under-Canopy Archaeological Sites: A Case Study of Torre Castiglione (Apulia) by Nicodemo Abate, Roberto Goffredo, Giorgia Dato, Antonio Minervino Amodio, Antonio Loperte, Alessia Frisetti, Gabriele Ciccone, Sara Elettra Zaia, Maria Sileo, Rosa Lasaponara, Nicola Masini

“…This study introduces a methodology for the improvement of the visibility of archaeological features using an open-source probabilistic machine learning framework applied to UAV LiDAR data from the Torre Castiglione site in Apulia, Italy. …”
Get full text