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Bartletts principal regressive and arbitrary African buffalo optimizatized three-dimensional protein structure prediction
Protein sequencing and structure prediction is analytic to farther predict the tertiary structure, realize protein function and design drugs....
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Air Quality Index Prediction Using Support Vector Regression Based on African Buffalo Optimization
Support Vector Regression (SVR) is one of the machine learning models widely used in regression analysis. As an alternative for fitting a line to the...
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Energy aware African buffalo-based optimized dynamic media access control protocol for mobile Adhoc network environment
The Media Access Control (MAC) protocol has been adopted and functioned in many network applications to share data between network users. However,...
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Optimization-based convolutional neural model for the classification of white blood cells
White blood cells (WBCs) are one of the most significant parts of the human immune system, and they play a crucial role in diagnosing the...
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Convolutional Neural network-based African vulture optimization algorithm for the enhancement of cybersecurity in the blockchain-based Smart grid
A smart grid is a network that utilizes a digital network to monitor the passage of electricity from one node to another within the network. Some of...
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Ensemble of deep reinforcement learning with optimization model for DDoS attack detection and classification in cloud based software defined networks
Distributed Denial of Service (DDoS) attacks pose a challenging threat to the availability and performance of cloud-based Software-Defined Networks...
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Optimized intelligent strategy for user authorization by facial recognition
The technology of facial expression recognition plays a crucial role in daily life. In many computer-aided fields, the systems are worked based on...
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IoT-based blockchain intrusion detection using optimized recurrent neural network
In recent years, Intrusion Detection Systems (IDS) monitor the computer network system by collecting and analyzing data or information by identifying...
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An optimized frequency response masking reconfigurable filter to enhance the performance of the hearing aid system
In general, a filter bank scheme is used to distort sound signals in a hearing aid system based on the characteristics of the patient's hearing loss....
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An intelligent optimized fractional order sliding mode controller for biological system
The biological system has attracted many researchers with a lot of smart advances in the control system field. The control approaches have been...
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An enhanced copy-move forgery detection using machine learning based hybrid optimization model
In recent years, one of the forgery detection methods is the Copy-Move Forgery Detection (CMFD), which is mostly used approach amongst all the...
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Breast cancer diagnosis in an early stage using novel deep learning with hybrid optimization technique
Breast cancer is one of the primary causes of death that is occurred in females around the world. So, the recognition and categorization of initial...
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An ocean water current-inspired Geoscience based optimization algorithm
A novel optimization technique is proposed based on ocean water currents. The combination of all-natural forces determines ocean current speed,...
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Security Testing of Android Apps Using Malware Analysis and XGboost Optimized by Adaptive Particle Swarm Optimization
Securing Android apps presents a formidable challenge due to the incessant threat of malicious applications. Traditional solutions have grown less...
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A novel efficient optimized machine learning approach to detect malware activities in android applications
The Android device convenience has increased the number of malware developers handling several unknown applications. Machine Learning (ML) approaches...
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Optimized Prediction Framework for Improving Cost Effectiveness of the Software Defined Network
Software defined network (SDN) technology has been adopted by organizations to increase network flexibility and reduce costs. However, network...
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An exhaustive review of the metaheuristic algorithms for search and optimization: taxonomy, applications, and open challenges
As the world moves towards industrialization, optimization problems become more challenging to solve in a reasonable time. More than 500 new...
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Graph-based zero-shot learning for classifying natural and computer-generated image
The zero-shot image classification is a stimulating problem that attains the human recognition level depending upon the tiny quantity of trained...
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A Hybrid Optimized Deep Learning Framework to Enhance Question Answering System
One of the challenging tasks in big data machine learning is the Question-Answering (QA) system. The QA system datasets have several question types:...
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Integrating Reinforcement Learning and Optimization Task: Evaluating an Agent to Dynamically Select PSO Communication Topology
A recent study catalogued hundreds of meta-heuristics proposed over the past three decades in Swarm Intelligence (SI) literature. This scenario makes...