Titlebook: Innovations and Advances in Cognitive Systems; ICIACS 2024, Volume S. D. Prabu Ragavendiran,Vasile Daniel Pavaloaia,A Conference proceedin

上下连贯

Madhava Rao Maganti,Rajashekar Rao Kurrabeginning, we have been creating “products” in terms of heritage and archaeological information. In some way, perhaps due to the broadly extended capitalist mentality of the leading Anglo-Saxon stream, these “products” soon became commodities in a Heritage market that has now become a commodity itse

眉毛

Amruta Poojary,Pooja Naskar,Vaishnavi Deshmukh,Sneha Mhatrenot to excavate on a cosmologically significant sambaqui, during a public archaeology project in the Uaçá Indigenous Area in 2000–2001. It argues that the ethical choice not to excavate at that time offered the opportunity to develop a different kind of archaeology: not the kind that maps objects in

Geyser

轻率的你

S. Shashannk,G. Vishal,S. Sandoshn machines that learn and decide autonomously.​Explores the It is a book made up of questions, some without certain answers, that attempts to open the reader‘s mind to new and, perhaps, futuristic scenarios. There are two diametrically opposed approaches to artificial intelligence today. On the one

细查

品牌

IoT Based Smart Gas Stove,’ has revolutionized the way to interact with everyday appliances, enhancing efficiency, safety, and convenience. Though alternative ways of cooking like induction cooking are available, it is more likely to find a conventional gas-stove in every 3 out of 4 houses in India. When there is a leakage o

interpose

闲聊

邪恶的你

节约

Pest Detection and Eco-Friendly Pesticide Sorting Using Deep Learning,arning approach achieving a promising 94% accuracy in identifying and classifying nine distinct crop pest species. These include aphids, armyworms, beetles, bollworms, mites, mosquitoes, grasshoppers, sawflies, and stem borers. The system utilizes Convolutional Neural Networks (CNNs) to analyze crop