A comprehensive survey of recent trends in deep learning for digital images augmentation [0.03%]
深度学习在数字图像增强中的最新趋势综述
Nour Eldeen Khalifa,Mohamed Loey,Seyedali Mirjalili
Nour Eldeen Khalifa
Deep learning proved its efficiency in many fields of computer science such as computer vision, image classifications, object detection, image segmentation, and more. Deep learning models primarily depend on the availability of huge dataset...
Differential evolution and particle swarm optimization against COVID-19 [0.03%]
用于抗击COVID-19的差分进化和粒子群优化算法
Adam P Piotrowski,Agnieszka E Piotrowska
Adam P Piotrowski
COVID-19 disease, which highly affected global life in 2020, led to a rapid scientific response. Versatile optimization methods found their application in scientific studies related to COVID-19 pandemic. Differential Evolution (DE) and Part...
Suresh Dara,Swetha Dhamercherla,Surender Singh Jadav et al.
Suresh Dara et al.
This review provides the feasible literature on drug discovery through ML tools and techniques that are enforced in every phase of drug development to accelerate the research process and deduce the risk and expenditure in clinical trials. M...
An approach to MCGDM based on multi-granulation Pythagorean fuzzy rough set over two universes and its application to medical decision problem [0.03%]
基于两论域下多粒度Pythagorean模糊粗糙集的MCGDM方法及其在医疗决策中的应用
Bingzhen Sun,Sirong Tong,Weimin Ma et al.
Bingzhen Sun et al.
Exploring efficiency approaches to solve the problems of decision making under uncertainty is a mainstream direction. This article explores the rough approximation of the uncertainty information with Pythagorean fuzzy information on multi-g...
News recommender system: a review of recent progress, challenges, and opportunities [0.03%]
新闻推荐系统：近期进展、挑战及机遇综述
Shaina Raza,Chen Ding
Shaina Raza
Nowadays, more and more news readers read news online where they have access to millions of news articles from multiple sources. In order to help users find the right and relevant content, news recommender systems (NRS) are developed to rel...
Prediction of global spread of COVID-19 pandemic: a review and research challenges [0.03%]
COVID-19大流行全球传播的预测：综述与研究挑战
Saloni Shah,Aos Mulahuwaish,Kayhan Zrar Ghafoor et al.
Saloni Shah et al.
Since the initial reports of the Coronavirus surfacing in Wuhan, China, the novel virus currently without a cure has spread like wildfire across the globe, the virus spread exponentially across all inhabited continent, catching local govern...
The role of AI technology in prediction, diagnosis and treatment of colorectal cancer [0.03%]
人工智能技术在结直肠癌预测、诊断及治疗中的作用
Chaoran Yu,Ernest Johann Helwig
Chaoran Yu
Artificial intelligence (AI) is a fascinating new technology that incorporates machine learning and neural networks to improve existing technology or create new ones. Potential applications of AI are introduced to aid in the fight against c...
Keith Cortis,Brian Davis
Keith Cortis
Social media popularity and importance is on the increase due to people using it for various types of social interaction across multiple channels. This systematic review focuses on the evolving research area of Social Opinion Mining, tasked...
An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions [0.03%]
一种使用SWARA-MULTIMOORA方法扩展犹豫模糊集以适应在线教育控制COVID-19在高等教育机构传播的影响
Mahyar Kamali Saraji,Abbas Mardani,Mario Köppen et al.
Mahyar Kamali Saraji et al.
The world has been challenged since late 2019 by COVID-19. Higher education institutions have faced various challenges in adapting online education to control the pandemic spread of COVID-19. The present study aims to conduct a survey study...
A comprehensive survey of sine cosine algorithm: variants and applications [0.03%]
正弦余弦算法的全面调查：变体和应用
Asma Benmessaoud Gabis,Yassine Meraihi,Seyedali Mirjalili et al.
Asma Benmessaoud Gabis et al.
Sine Cosine Algorithm (SCA) is a recent meta-heuristic algorithm inspired by the proprieties of trigonometric sine and cosine functions. Since its introduction by Mirjalili in 2016, SCA has attracted great attention from researchers and has...