Search Results - "Applied computational intelligence and soft computing"

Intelligent Model for Brain Tumor Identification Using Deep Learning by Khan, Abdul Hannan, Abbas, Sagheer, Khan, Muhammad Adnan, Farooq, Umer, Khan, Wasim Ahmad, Siddiqui, Shahan Yamin, Ahmad, Aiesha

“…Brain tumors can be a major cause of psychiatric complications such as depression and panic attacks. Quick and timely recognition of a brain tumor is more…”
Get full text

Deep Learning for Plastic Waste Classification System by Bobulski, Janusz, Kubanek, Mariusz

“…Plastic waste management is a challenge for the whole world. Manual sorting of garbage is a difficult and expensive process, which is why scientists create and…”
Get full text

A Deep Learning Fusion Approach to Diagnosis the Polycystic Ovary Syndrome (PCOS) by Alamoudi, Abrar, Khan, Irfan Ullah, Aslam, Nida, Alqahtani, Nourah, Alsaif, Hind S., Al Dandan, Omran, Al Gadeeb, Mohammed, Al Bahrani, Ridha

“…One of the leading causes of female infertility is PCOS, which is a hormonal disorder affecting women of childbearing age. The common symptoms of PCOS include…”
Get full text

Modified Grey Wolf Optimizer for Global Engineering Optimization by Mittal, Nitin, Sohi, B. S., Singh, Urvinder

“…Nature-inspired algorithms are becoming popular among researchers due to their simplicity and flexibility. The nature-inspired metaheuristic algorithms are…”
Get full text

A Review on Deep Sequential Models for Forecasting Time Series Data by Ahmed, Dozdar Mahdi, Hassan, Masoud Muhammed, Mstafa, Ramadhan J.

“…Deep sequential (DS) models are extensively employed for forecasting time series data since the dawn of the deep learning era, and they provide forecasts for…”
Get full text

Enhancing Image Cryptography Performance with Block Left Rotation Operations by Al-Batah, Mohammad Subhi, Alzboon, Mowafaq Salem, Alzyoud, Mazen, Al-Shanableh, Najah

“…In today’s interconnected world, the transmission of both lengthy and concise text messages is ubiquitous across diverse communication platforms. With the…”
Get full text

Fish Detection Using Deep Learning by Zhai, Lujun, Wang, Yonghui, Zhou, Yu, Cui, Suxia

“…Recently, human being’s curiosity has been expanded from the land to the sky and the sea. Besides sending people to explore the ocean and outer space, robots…”
Get full text

Student Performance Prediction Using Machine Learning Algorithms by Ahmed, Esmael

“…Education is crucial for a productive life and providing necessary resources. With the advent of technology like artificial intelligence, higher education…”
Get full text

Ensemble Classifiers for Arabic Sentiment Analysis of Social Network (Twitter Data) towards COVID-19-Related Conspiracy Theories by Al-Hashedi, Abdullah, Al-Fuhaidi, Belal, Mohsen, Abdulqader M., Ali, Yousef, Gamal Al-Kaf, Hasan Ali, Al-Sorori, Wedad, Maqtary, Naseebah

“…Sentiment analysis has recently become increasingly important with a massive increase in online content. It is associated with the analysis of textual data…”
Get full text

Mental Health Prediction Using Machine Learning: Taxonomy, Applications, and Challenges by Chung, Jetli, Teo, Jason

“…The increase of mental health problems and the need for effective medical health care have led to an investigation of machine learning that can be applied in…”
Get full text

On the Analytical Solution of Fractional SIR Epidemic Model by Qazza, Ahmad, Saadeh, Rania

“…This article presents the solution of the fractional SIR epidemic model using the Laplace residual power series method. We introduce the fractional SIR model…”
Get full text

Arabic Sentiment Analysis: A Systematic Literature Review by Ghallab, Abdullatif, Ali, Yousef, Muhsin, Abd al-Qadir Muhammad

“…With the recently grown attention from different research communities for opinion mining, there is an evolving body of work on Arabic Sentiment Analysis (ASA)…”
Get full text

Reliable Breast Cancer Diagnosis with Deep Learning: DCGAN-Driven Mammogram Synthesis and Validity Assessment by Shah, Dilawar, Ullah Khan, Mohammad Asmat, Abrar, Mohammad

“…Breast cancer imaging is paramount to quickly detecting and accurately evaluating the disease. The scarcity of annotated mammogram data presents a significant…”
Get full text

Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells by Aslam, Nida, Khan, Irfan Ullah, Alansari, Aisha, Alrammah, Marah, Alghwairy, Atheer, Alqahtani, Rahaf, Alqahtani, Razan, Almushikes, Maryam, Hashim, Mohammed AL

“…The worldwide demand for oil has been rising rapidly for many decades, being the first indicator of economic development. Oil is extracted from underneath…”
Get full text

Comparative Study on Heart Disease Prediction Using Feature Selection Techniques on Classification Algorithms by Dissanayake, Kaushalya, Md Johar, Md Gapar

“…Heart disease is recognized as one of the leading factors of death rate worldwide. Biomedical instruments and various systems in hospitals have massive…”
Get full text

Maximal Soft Compact and Maximal Soft Connected Topologies by Al Ghour, Samer, Ameen, Zanyar A.

“…In various articles, it is said that the class of all soft topologies on a common universe forms a complete lattice, but in this paper, we prove that it is a…”
Get full text

Development of Deep Learning Model for the Recognition of Cracks on Concrete Surfaces by Le, Tien-Thinh, Nguyen, Van-Hai, Le, Minh Vuong

“…This paper is devoted to the development of a deep learning- (DL-) based model to detect crack fractures on concrete surfaces. The developed model for the…”
Get full text

Deep Learning in Visual Computing and Signal Processing by Xie, Danfeng, Bai, Li, Zhang, Lei

“…Deep learning is a subfield of machine learning, which aims to learn a hierarchy of features from input data. Nowadays, researchers have intensively…”
Get full text

Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing by Shruthi, G., Mundada, Monica R., Sowmya, B. J., Supreeth, S.

“…Fog computing domain plays a prominent role in supporting time-delicate applications, which are associated with smart Internet of Things (IoT) services, like…”
Get full text

Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka by Gunathilake, Miyuru B., Karunanayake, Chamaka, Gunathilake, Anura S., Marasingha, Niranga, Samarasinghe, Jayanga T., Bandara, Isuru M., Rathnayake, Upaka

“…Accurate streamflow estimations are essential for planning and decision-making of many development activities related to water resources. Hydrological…”
Get full text