Rice is a vital crop for global food security, but its production is vulnerable to various
diseases. Early detection and treatment of rice diseases are crucial to minimise yield losses …

In the Bitcoin trading landscape, predicting price movements is paramount. Our study
focuses on identifying the key factors influencing these price fluctuations. Utilizing the …

Abstract Machine learning (ML) and deep learning (DL) techniques have demonstrated
significant potential in the development of effective intrusion detection systems. This study …

This study looks at how API (Application Programming Interface) wrapper technology can
make it easier to use complex functions by putting together a lot of API calls. These …

The swift advancement of electric vehicle technology has led to increased requirements for
ensuring the safety of batteries. Various models for predicting battery life and aging have …

Videos inherently blend multiple modalities in real-world scenarios, primarily visual and
auditory cues. When synergized, these cues foster enhanced data representations …

This study suggests employing a dynamic natural and bio-inspired algorithm (DNBIA) to
strengthen the confidentiality, integrity, and availability of digital information exchanges. You …

In order to address the problem of incomplete data set of real seismic impact of cultural relics
in collections, we propose a small sample set oriented center-of-mass positioning method to …

Multimodal multi-objective optimization problems aim to identify multiple equivalent Pareto-
optimal solution sets in the decision space, each associated with the same Pareto front in …

This study investigates whether a firm's research and development (R&D) intensity
influences its choice of an inventory leanness strategy and how R&D intensity and inventory …