Titlebook: Advances in Computing and Information; Proceedings of ERCIC N. R. Shetty,N. H. Prasad,N. Nalini Conference proceedings 2024 The Editor(s) (

不發(fā)音

Prediction of Fake Twitters Using AdaBoost-Based Neuro-Evolution of Augmenting Topologies Algorithmation of knowledge provides a single point reference for the posted query. It thus increases the probability of the learner obtaining complete and relevant information from a single reference. This framework therefore allows a learner to concentrate on learning than the searching process thus enhancing the learning experience.

關(guān)心

借喻

Atheroma

Chauvinistic

Sentimental Analysis-Based Recommended System for Products Using Machine Learning,cost of innovation is divided into two categories, private and social costs, the way the cost of innovation is borne in Japan and the U.S. is very different. In Japan, the cost of innovation is borne relatively largely by corporations, while in the U.S., the cost of innovation is borne by the government and the public.

Anal-Canal

出沒

Kaitano Dube,Olga L. Kupika,David Chikodzirate the map. This system is almost human independent and is risk free. Hence, generated 2D map is used for further process to inspect if the environment is safe for human to enter. In this research, we have also implemented the autonomous navigation part. Once the map is generated, the robot can mo

Canyon

David Chikodzi,Godwell Nhamo,Kaitano Dubeetic coupling resonant wireless power transmission (MCR-WPT), we have designed and analyzed the major circuit with the help of simulation. The simulation of the design is carried out by using Multisim software, and also, the hardware implementation is done.

輕觸

Kaitano Dube,Godwell Nhamo,MP Swart9 and pneumonia or not. Secondly, to classify with the help of normal chest X-ray images. Experiments were carried out using InceptionV3 (IV3), and VGG16 models on the chest X-ray images. Results revealed that the VGG16 model outperformed IV3 model for COVID-19 and pneumonia identification on multip

Ophthalmologist