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Titlebook: New Trends in Information and Communications Technology Applications; 4th International Co Abbas M. Al-Bakry,Safaa O. Al-Mamory,Jaafar A. A

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樓主: Combat
51#
發(fā)表于 2025-3-30 11:28:51 | 只看該作者
52#
發(fā)表于 2025-3-30 13:18:47 | 只看該作者
Parallel Genetic Algorithm for Optimizing Compiler Sequences Orderingveral optimizations passes can improve program performance. Moreover, the search space for optimization sequences is very huge. Therefore, finding an optimal sequence for even a simple code is not an easy task. The goal of this paper is to find a set of a good optimization sequences using parallel g
53#
發(fā)表于 2025-3-30 20:35:36 | 只看該作者
54#
發(fā)表于 2025-3-30 22:27:44 | 只看該作者
A Proposed Method for Feature Extraction to Enhance Classification Algorithms Performance the original dataset is proposed in the paper. These new six features are extracted from supervised and unsupervised set of algorithms. The decisions of three different classification algorithms and three different clustering algorithms are added as new features. These algorithms are selected with
55#
發(fā)表于 2025-3-31 02:46:25 | 只看該作者
Heart Disease Prediction System Using Optimization Techniquesed by the medical practitioners as it a difficult task that demands higher knowledge and expertise for prediction. Some computational approaches were suggested for heart disease predication. This study proposes a binary particle swarm optimization algorithm combined with mutual information filter fo
56#
發(fā)表于 2025-3-31 05:45:40 | 只看該作者
57#
發(fā)表于 2025-3-31 11:46:13 | 只看該作者
Real-Time Sickle Cell Anemia Diagnosis Based Hardware Acceleratorethodologies of classifying and counting RBCs that have been used by medical analysts are time-consuming, as well as, cost-effective. In addition, it is possible to make errors throughout the classifying and counting stages. We overcome these limitations by proposing a novel convolutional neural net
58#
發(fā)表于 2025-3-31 14:47:50 | 只看該作者
Energy-Efficient Particle Swarm Optimization for Lifetime Coverage Prolongation in Wireless Sensor Networks (WSNs). In this article, a protocol called Energy-efficient Particle Swarm Optimization for Lifetime Coverage Prolongation (EPSOLCOP) is proposed to maintain the coverage and enhance the WSN lifetime. The target sensing field is virtually partitioned into smaller subfields. EPSOLCOP protocol
59#
發(fā)表于 2025-3-31 18:17:39 | 只看該作者
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