Krishna Gopal Dhal,Swarnajit Ray,Rebika Rai et al.
Krishna Gopal Dhal et al.
The intricacy of the real-world numerical optimization tribulations has full-fledged and diversely amplified necessitating proficient yet ingenious optimization algorithms. In the domain wherein the classical approaches fall short, the pred...
Muskan Garg
Muskan Garg
The surge in internet use to express personal thoughts and beliefs makes it increasingly feasible for the social NLP research community to find and validate associations between social media posts and mental health status. Cross-sectional a...
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications [0.03%]
基于梯度的优化器（GBO）：综述、理论、变体及应用
Mohammad Sh Daoud,Mohammad Shehab,Hani M Al-Mimi et al.
Mohammad Sh Daoud et al.
This paper introduces a comprehensive survey of a new population-based algorithm so-called gradient-based optimizer (GBO) and analyzes its major features. GBO considers as one of the most effective optimization algorithm where it was utiliz...
Advances Towards Automatic Detection and Classification of Parasites Microscopic Images Using Deep Convolutional Neural Network: Methods, Models and Research Directions [0.03%]
利用深度卷积神经网络实现寄生虫显微图像的自动检测与分类的研究进展：方法、模型及研究方向
Satish Kumar,Tasleem Arif,Abdullah S Alotaibi et al.
Satish Kumar et al.
In the developing world, parasites are responsible for causing several serious health problems, with relatively high infections in human beings. The traditional manual light microscopy process of parasite recognition remains the golden stan...
Adaptive Computational Solutions to Energy Efficiency in Cloud Computing Environment Using VM Consolidation [0.03%]
利用VM整合在云计算环境中对能源效率的自适应计算解决方案
Bhagyalakshmi Magotra,Deepti Malhotra,Amit Kr Dogra
Bhagyalakshmi Magotra
Cloud Computing has emerged as a computing paradigm where services are provided through the internet in recent years. Offering on-demand services has transformed the IT companies' working environment, leading to a linearly increasing trend ...
A Systematic Review on Metaheuristic Optimization Techniques for Feature Selections in Disease Diagnosis: Open Issues and Challenges [0.03%]
系统综述用于疾病诊断的元启发优化技术特征选择：开放问题和挑战
Sukhpreet Kaur,Yogesh Kumar,Apeksha Koul et al.
Sukhpreet Kaur et al.
There is a need for some techniques to solve various problems in today's computing world. Metaheuristic algorithms are one of the techniques which are capable of providing practical solutions to such issues. Due to their efficiency, metaheu...
Annalisa Buffa,Gregor Gantner,Carlotta Giannelli et al.
Annalisa Buffa et al.
This paper reviews the state of the art and discusses recent developments in the field of adaptive isogeometric analysis, with special focus on the mathematical theory. This includes an overview of available spline technologies for the loca...
Differential Evolution and Its Applications in Image Processing Problems: A Comprehensive Review [0.03%]
差分进化及其在图像处理问题中的应用：全面回顾
Sanjoy Chakraborty,Apu Kumar Saha,Absalom E Ezugwu et al.
Sanjoy Chakraborty et al.
Differential evolution (DE) is one of the highly acknowledged population-based optimization algorithms due to its simplicity, user-friendliness, resilience, and capacity to solve problems. DE has grown steadily since its beginnings due to i...
Recent Advances in Butterfly Optimization Algorithm, Its Versions and Applications [0.03%]
蝴蝶优化算法及其版本和应用的最新进展
Sharif Naser Makhadmeh,Mohammed Azmi Al-Betar,Ammar Kamal Abasi et al.
Sharif Naser Makhadmeh et al.
The butterfly optimization algorithm (BOA) is a recent successful metaheuristic swarm-based optimization algorithm. The BOA has attracted scholars' attention due to its extraordinary features. Such as the few adaptive parameters to handle a...
A Systematic Review on Particle Swarm Optimization Towards Target Search in The Swarm Robotics Domain [0.03%]
面向群机器人目标搜索的粒子群优化系统综述
Mohd Ghazali Mohd Hamami,Zool Hilmi Ismail
Mohd Ghazali Mohd Hamami
Swarm Intelligence (SI) is one of the research fields that has continuously attracted researcher attention in these last two decades. The flexibility and a well-known decentralized collective behavior of its algorithm make SI a suitable can...