Abstract The Internet of Things is a rapidly evolving technology in which interconnected
computing devices and sensors share data over the network to decipher different problems …

Zigbee is a well-known wireless network communications protocol designed specifically for
low-cost, low-power, low-rate IoT devices, networks and applications. It has become one of …

Lemon disease detection has been a hot topic of research for decades, thanks to the rising
demand and supply for the commodity, which has increased the number of diseases found …

The rapid growth in the number of vehicles has led to traffic congestion, pollution, and
delays in logistic transportation in metropolitan areas. IoT has been an emerging innovation …

Reinforcement learning (RL) techniques nurture building up solutions for sequential
decision-making problems under uncertainty and ambiguity. RL has agents with a reward …

A simple Convolutional neural network (CNN) based deep learning (DL) model has been
proposed for multi-classification of corn gray leaf spot (CGLS) disease based on five …

The rise in urban population and technological innovation has resulted in climatic,
technological, and economic changes that can severely impact the value of life in cities. In …

These days cloud-based infrastructure is facing many challenges, out of which the major
issue is their syncing data before cutover and data migration. Due to the limited scalability in …

Powdery mildew is a fungal disease that affects kiwi fruit plants and leads to a reduction in
yield and quality. Early detection and classification of the disease can help farmers to take …

The consumer Internet of Things (IoT) applications in particular smart cities are mostly
equipped with Internet-connected networked devices to improve city operations by giving …