Brain Tumor Classification Using Dense Efficient-Net Brain tumors are most common in children and the elderly. It is a serious form of cancer caused by uncontrollable brain cell growth inside …
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Multi-Tier Sentiment Analysis of Social Media Text Using Supervised Machine Learning Sentiment Analysis (SA) is often referred to as opinion mining. It is defined as the extraction, identification, or characterization …
Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation
Multimodal attention-gated cascaded U-Net model for automatic brain tumor detection and segmentation During the last decade, several studies have been conducted to improve efficiency and robustness in the detection and …
MobileNetV1-Based Deep Learning Model for Accurate Brain Tumor Classification Brain tumors are among the most dangerous diseases that lead to mortality after a period of time from injury. Therefore, physicians …
A multi-objective Monarch Butterfly Algorithm for virtual machine placement in cloud computing The growing demand for cloud computing adoption presents more challenges for researchers to make cloud computing more efficient …
A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Efficient task scheduling is considered as one of the main critical challenges in cloud computing. …
Applications of Virtual Machine Using Multi-Objective Optimization Scheduling Algorithm for Improving CPU Utilization and Energy Efficiency in Cloud Computing Financial costs and energy savings are considered to be more critical …
DCHG-TS: a deadline-constrained and cost-effective hybrid genetic algorithm for scientific workflow scheduling in cloud computing Cloud infrastructures are suitable environments for processing large scientific workflows. Nowadays, new challenges are emerging …
Genetic Algorithm-Based Task Scheduling in Cloud Computing Using MapReduce Framework Task scheduling is an essential component of any distributed system because it routes tasks to appropriate resources for execution, such …
Performance Analysis of Scheduling Algorithms for Virtual Machines and Tasks in Cloud Computing Scheduling virtual machines (VMs) and tasks in the appropriate location is a fundamental challenge integral to the …