An efficient leukemia prediction method using machine learning and deep learning with selected features. by Mahwish Ilyas, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, Anam Naz

Get full text

A Machine Learning Approach to Analyze Manpower Sleep Disorder by Reza Amiri

Subjects: Get full text

Efficient Air Quality Prediction Models Based on Supervised Machine Learning Techniques by Oumoulylte Mariame, El Allaoui Ahmad, Farhaoui Yousef, Boughrous Ali Ait

Get full text

Cluster Workload Allocation: A Predictive Approach Leveraging Machine Learning Efficiency by Leszek Sliwko

Get full text

Efficiency Monitoring of a Cooling Water Pump based on Machine Learning Techniques by Marta Casero, Miguel A. Sanz-Bobi, F. Javier Bellido-López, Antonio Muñoz, Daniel Gonzalez-Calvo, Tomas Alvarez-Tejedor

Subjects: “…machine learning…”
Get full text

Efficient Machine Learning for Prediction of Malicious URLs under Neutrosophic Uncertainty Framework by Mohamed Eassa, Ahmed Abdelhafeez, Ahmed A. Metwaly, Ahmed S. Salama

Get full text

Lightweight machine learning framework for efficient DDoS attack detection in IoT networks by Mamoona Nawaz, Shireen Tahira, Dilawar Shah, Shujaat Ali, Muhammad Tahir

“…To address this limitation, this study proposes a lightweight and scalable machine learning-based DDoS detection framework specifically designed for IoT networks. …”
Get full text

Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

Get full text

Assessing acoustic receiver detection efficiency using autocorrelation adjusted machine learning models by Devon A. Smith, James A. Crossman, Eduardo G. Martins

Subjects: Get full text

A scalable machine learning strategy for resource allocation in database by Fady Nashat Manhary, Marghny H. Mohamed, Mamdouh Farouk

Get full text

Challenges of manufacturing for energy efficiency: towards a systematic approach through applications of machine learning by Elaheh Gholamzadeh Nabati, Maria Teresa Alvela Nieto, Dennis Bode, Thimo Florian Schindler, André Decker, Klaus-Dieter Thoben

Subjects: Get full text

Machine learning-based voice assistant: optimizing the efficiency of speech conversion for people with speech disorders by M.H. Antor, N.V. Chudinovskikh, M.V. Bachurin, A.A. Shurpikov, N.A. Khlebnikov, B.A. Bredikhin

Get full text

Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives by Rafał Różycki, Dorota Agnieszka Solarska, Grzegorz Waligóra

Subjects: Get full text

Design and research of English material archives management system based on machine learning technology by Yi Qin

Subjects: “…Machine learning…”
Get full text

Integrated intrusion detection design with discretion of leading agent using machine learning for efficient MANET system by K. S. Nirmala Bai, Dr M.V. Subramanyam

“…Machine learning models are filled up that place of work in the proposed optimal MANET design. …”
Get full text

Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Since one of the most critical aspects in this computational consume is the available dataset, among others, in this paper we perform a study of the effect of using different partitions of a dataset in the hyperparameter optimization phase over the efficiency of a Machine Learning algorithm. Nonparametric inference has been used to measure the rate of different behaviors of the accuracy, time, and spatial complexity that are obtained among the partitions and the whole dataset. …”
Get full text

Efficient Swell Risk Prediction for Building Design Using a Domain-Guided Machine Learning Model by Hani S. Alharbi

Get full text

Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing by J. Schauer, P. Goodarzi, A. Schütze, T. Schneider

“…<p>With the rising number of machine learning and deep learning applications, the demand for implementation of those algorithms near the sensors has grown rapidly to allow efficient edge computing. …”
Get full text

Leveraging Machine Learning in Next-Generation Climate Change Adaptation Efforts by Increasing Renewable Energy Integration and Efficiency by Izabela Rojek, Dariusz Mikołajewski, Marek Andryszczyk, Tomasz Bednarek, Krzysztof Tyburek

“…Successful implementation requires not only ensuring technological capabilities (robust infrastructure, structured data sets, and interdisciplinary collaboration) but also the careful consideration and alignment of ethical and regulatory factors from strategic to regional and local levels. Machine learning is becoming a key enabler for the transition to more adaptive, efficient, and low-carbon energy systems in response to climate change.…”
Get full text

An automated Machine Learning based approach for a reproducible and efficient evaluation of industrial Charpy V-notch specimens by Adrian Herges, Björn-Ivo Bachmann, Sebastian Scholl, Frank Mücklich

Get full text