Abstract: Reasons for retraction：Since the article is suspected of being repeated, it has violated the journal's publication policy. Therefore, the paper was withdrawn. Digital signature schemes in general and representative collective digital signature schemes, in particular, are often built based on the difficulty of the discrete logarithm problem on the finite field, of the discrete logarithm problem of the elliptic curve, of the problem of factor... More

Abstract: Medium-wave HgCdTe thin films grown on germanium-based substrates by molecular beam epitaxy were treated by large area n-on-p injection junction and flip-flop mixing process. The chips interconnected with low-noise and multimodal options readout circuit composed a 1280×1024 Medium-wave Infrared Focal Plane Cooling Detector whose pixel spacing was 15 microns. Its main photoelectric properties are average NETD equivalent to 18.5 mK, non-uniformity... More

Abstract: In recent years, due to the rapid increase in the number of vehicles in the world, the traditional vehicles using gasoline or diesel as energy have led to serious air pollution and energy depletion. It is urgent to develop practical clean energy vehicles. The performance of electric vehicle depends on the power battery pack. The working temperature of the battery pack has a great impact on the performance of the battery, so it is necessary to... More

Abstract: The fruit industry has been known as one of the largest businesses in Malaysia, where most of the fruits pass through the peeling process well in advance before the final product as juice in a bottle or slices in a can. The current industrial fruit peeling techniques are passive and inefficient by cutting parts of the pulp of the fruit with peels leading to losses. To avoid this issue, a multi-axis CNC fruit peeler can be used to precisely peel... More

Abstract: Optical Character Recognition (OCR) is a technology that converts images of text into machine-readable formats, essential for digitizing printed texts and enabling digital searches. Traditional OCR methods often struggle with variations in font styles and noise. This paper proposes an innovative approach to enhance OCR classification under challenging conditions by leveraging an ensemble model that combines an Attention Mechanism-Based... More

Abstract: In the digital era, precise product price prediction becomes crucial for enhancing competitiveness in the online marketplace. This paper presents a hybrid model framework that enhances the accuracy of online product price predictions by integrating several machine learning algorithms, including Linear Regression, Decision Trees, and Gradient Boosting. The objective of this approach is to leverage the distinct advantages of each model to address... More