Titlebook: Innovative Computing and Communications; Proceedings of ICICC Aboul Ella Hassanien,Sameer Anand,Prabhat Kumar Conference proceedings 2024 T

Accord

Suong Tieu Phung Mai,Tu Tran Camethical issues in agriculture in Africa do not focus only on biotechnology. The role of nutrition in the persistence of HIV/AIDS is highly debated and sometimes controversial. Land-related issues also generate heated debates in communities and amongst policy-makers. The sin978-90-481-6761-6978-1-4020-2989-9

IRATE

龍蝦

假設(shè)

Computational Approach for Data Aggregation in Wireless Sensor Networks (WSNs),ircumstances function on battery. Thus, it is vital to research and create networks having long network lifetimes, a high degree of durability, and minimal energy consumption. The routing technique used in WSNs has a significant impact on the performance of the network. This paper provides an overvi

修正案

憤憤不平

GIS-Based Assessment of Criminal Networks: Drug Trafficking in Iraq, human activities. Many factors have contributed to the spread of this phenomenon, the most important of which are political, economic, and social. This study comes to shed light on the drug trade that has affected the Iraqi governorates for the purpose of analyzing and evaluating its distribution,

問到了燒瓶

Crop Recommendation System Using Machine Learning and IoT: A Survey,velopment of advanced crop recommendation systems, which are aimed at enhancing the sustainability and productivity of India’s agricultural sector under climate change. Use of IoT devices has made it possible for continuous soil moisture and nutrient level monitoring, thereby improving the accuracy

thalamus

LIEN

,Lip Movement Detection—A Survey of State-of-the-Art Approaches, one of which is converting speech to text and vice versa. Much research has been conducted in the field of deep learning and natural language processing to gain increased efficiency in detecting words and phrases via detecting lip movements. The reason behind this increasing interest in lip-reading

情感

Enhancing Road Safety with Smartphone-Based Machine Learning Driver Behavior Classification and Aggr is typically recognized as the most significant indicator of accident probability. The identification and classification of aggressive or deviant driving behavior is a critical necessity in the real world for preventing fatal traffic accidents and protecting other road users. In addition to assist