… Human beings generally recognizing the objects through vision with great accuracy
sometimes objects will be unclear, we consider how this performance was obtained by the …

… systems. Binarization of both activations and weights is one promising approach that can best
scale to realize the highest energy efficient system using … In addition, we present a system …

… In this paper, we propose a very efficient indoor object detection system based on a one-stage
neural network. The proposed detection system was trained and tested using the new …

… In an attempt to select an efficient recycling process for waste electrical and … object-recognition
system for discarded equipment. As part of this initiative, we developed a new object-…

… YOLOv7 backbone network with a more efficient EfficientFormerV2 network structure. The
network … In order to generate efficient networks with low latency and small size based on the …

… Object Tracking is used to find the area where objects are available and shape of objects in
… A new proposed approach is provided for efficient object tracking using Kernel and feature …

… Future research could focus on exploring advanced architectures such as transformer-based
models or efficient object detection algorithms tailored for real-time applications. …

… DL systems by framing the early article assertion philosophy pondering basic learning. In this
paper deals with the challenges in the object identification … for object ID contemplating DL. …

… The literature survey has been conducted in two aspects: The first one is to examine the
best performing object identification models, especially best suited for small objects with …

… RFID systems. 2) We propose a basic efficient and reliable missing tag identification protocol
… which consists of the unknown tag deactivation phase and missing tag identification phase. …