This review article explores jamming attacks, a critical security threat disrupting communication in wireless sensor networks (WSNs). We begin by introducing WSNs and highlighting the detrimental effects of jamming. The article then delves into …

With the ongoing progress of economic globalization, international communication has witnessed a notable surge. Proficiency in English has become indispensable for individuals seeking to comprehend international information and engage in economic …

Although the prospect of the Internet of Things (IoT) is almost unlimited, developing IoT techniques can look discouraging, demanding a multidomain expertise and complex web infrastructure. Combining machine learning and data analytics by smart …

Accurately segmenting the left ventricle in end-diastolic echocardiography images is vital for precise cardiac diagnosis. Existing methods often struggle with limited training data, impacting segmentation accuracy. This study addresses this …

Automatic speech recognition (ASR) is an important technology in many fields like video-sharing services, online education and live broadcast. Most recent ASR methods are based on deep learning technology. A dataset containing training samples of …

A QoS-optimal service balances reliability, execution cost, and latency to satisfy application requirements. In emerging distributed environments, with their unreliable and resource-scarce mobile/IoT devices, it is hard but essential to optimize …

YOLO series algorithms are widely used in unmanned aerial vehicles (UAV) object detection scenarios due to their fast and lightweight properties. This article summarizes the key concepts in YOLO series algorithms, such as the anchor mechanism …

With the increasing number of services and the massive data generated by the Web, a lot of services that have similar functionalities but different quality of service (QoS) attributes are candidates to fulfill the user’s requirements. The …

This academic paper delves into the intricacies of dining out and dietary management, aiming to provide an effective solution to the multifaceted challenges faced by regular out-diners in Taiwan. The research centers on the development and …

Metaheuristic algorithms with machine learning techniques have become popular because it works so well for problems like regression, classification, rule mining, and clustering in health care. This paper’s primary purpose is to design a …

In this study, a computer-aided diagnosis (CAD) system for whole-slide images (WSIs) with breast cancer was proposed to achieve lesion detection and classification. Different from the previously proposed works that performed segmentation directly …