Content‐based image retrieval using Gaussian–Hermite moments and firefly and grey wolf optimization
- Yasasvy Tadepalli,
- Meenakshi Kollati,
- Swaraja Kuraparthi,
- Padmavathi Kora,
- Anil Kumar Budati,
- Lakshmi Kala Pampana
Rapid growth in the transfer of multimedia information over the Internet requires algorithms to retrieve a queried image from large image database repositories. The proposed content‐based image retrieval (CBIR) uses Gaussian–Hermite moments as the ...
Resource scheduling approach in cloud Testing as a Service using deep reinforcement learning algorithms
Many organizations around the world use cloud computing Testing as Service (Taas) for their services. Cloud computing is principally based on the idea of on‐demand delivery of computation, storage, applications, and additional resources. It ...
Performance analysis of machine learning algorithms on automated sleep staging feature sets
With the speeding up of social activities, rapid changes in lifestyles, and an increase in the pressure in professional fields, people are suffering from several types of sleep‐related disorders. It is a very tedious task for clinicians to monitor ...
Why AI still doesn’t have consciousness?
Consciousness is one of the unique features of creatures, and is also the root of biological intelligence. Up to now, all machines and robots haven’t had consciousness. Then, will the artificial intelligence (AI) be conscious? Will robots have ...
Protecting artificial intelligence IPs: a survey of watermarking and fingerprinting for machine learning
Artificial intelligence (AI) algorithms achieve outstanding results in many application domains such as computer vision and natural language processing. The performance of AI models is the outcome of complex and costly model architecture design ...
Flow‐assisted visual tracking using event cameras
The data from event cameras not only portray contours of moving objects but also contain motion information inherently. Herein, motion information can be used in event‐based and frame‐based object trackers to ease the challenges of occluded ...
Learning‐based control for discrete‐time constrained nonzero‐sum games
A generalized policy‐iteration‐based solution to a class of discrete‐time multi‐player non‐zero‐sum games concerning the control constraints was proposed. Based on initial admissible control policies, the iterative value function of each player ...
Binaural sound source localization based on weighted template matching
In robot binaural sound source localization (SSL), locating the direction of the sound source accurately in the shortest time is important. It refers to the algorithm complexity, but even more to the shortest duration of the required signal. A ...
Selective kernel networks for weakly supervised relation extraction
The purpose of relation extraction is to identify the semantic relations between entities in sentences that contain two entities. Recently, many variants of the convolution neural network (CNN) have been introduced to relation extraction for the ...
Studies on situation reasoning approach of autonomous underwater vehicle under uncertain environment
The purpose of this study is to provide a situation reasoning module for autonomous underwater vehicle (AUV), to make decision‐making agents know what is the current situation, what needs to be done in the present situation, and what is the risk ...
