Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] A systematic review of meta-heuristic algorithms in IoT based application
Abstract Internet-of-Things (IoT) has gained quick popularity with the evolution of
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …
technologies such as big data analytics, block-chain, artificial intelligence, machine learning …
Boosting whale optimizer with quasi-oppositional learning and Gaussian barebone for feature selection and COVID-19 image segmentation
J ** rapidly and up to date. The lifetime of the Wireless Sensor
Network (WSN) has also attracted many researchers, and the location of the Base Station …
Network (WSN) has also attracted many researchers, and the location of the Base Station …
Optimal keyframe selection-based lossless video-watermarking technique using IGSA in LWT domain for copyright protection
Video piracy is a challenging issue in the modern world. Approximately 90\% 90% of newly
released films were illegally distributed around the world via the Internet. To overcome this …
released films were illegally distributed around the world via the Internet. To overcome this …
A new clustering method for the diagnosis of CoVID19 using medical images
With the spread of COVID-19, there is an urgent need for a fast and reliable diagnostic aid.
For the same, literature has witnessed that medical imaging plays a vital role, and tools …
For the same, literature has witnessed that medical imaging plays a vital role, and tools …
A new intrusion detection method for cyber–physical system in emerging industrial IoT
Abstract In Industrial Internet-of-Things, data streams across heterogeneous networks which
results in several cyber–physical attacks. Moreover, the security of unlabeled data is a …
results in several cyber–physical attacks. Moreover, the security of unlabeled data is a …
[HTML][HTML] Movie recommender systems: Concepts, methods, challenges, and future directions
Movie recommender systems are meant to give suggestions to the users based on the
features they love the most. A highly performing movie recommendation will suggest movies …
features they love the most. A highly performing movie recommendation will suggest movies …
An improved cat swarm search-based deep ensemble learning model for group recommender systems
Recommender systems are often employed in different fields such as music, travel, and
movies. The recommender systems are broadly utilised nowadays due to the emergence of …
movies. The recommender systems are broadly utilised nowadays due to the emergence of …