While deep learning architectures have driven substantial improvements in salient object detection (SOD), effectively handling objects of unpredictable scales and ambiguous categories remains a complex challenge. These issues are fundamentally tied to how networks process multi-level and multi-scale...

As cyberattacks grow more advanced and privacy laws become stricter, security systems must be powerful, transparent, and privacy-friendly. This paper introduces SwarmFL-XAI, a new framework that blends nature-inspired intelligence, collaborative learning, and explainable AI to deliver secure, scalab...

With the widespread deployment of the Internet of Things (IoT) and distributed sensing networks in marine and industrial environments, energy harvesting based on Flow-Induced Vibration (FIV) has garnered significant attention due to its high energy density and environmental adaptability. This paper...

To address key challenges in post-harvest fruit grading—namely the difficulty of distinguishing visually similar varieties, the invisibility of internal quality, and mechanical damage during grasping—this study develops an intelligent robotic grading system that integrates advanced computer vision,...

Natural disasters are on a rise all over the world, and these have pointed out vulnerabilities in existing Public Warning Systems, which fail during crises when they become choked with information, and it is not very efficient for people using basic mobile technology. The standard Short Message Serv...

In complex dynamic environments, infrared and visible video sequences exhibit highly variable and unpredictable feature distributions. Existing fusion algorithms with fixed architectures cannot adaptively respond to these dynamic feature changes, resulting in blurred fusion outcomes and the loss of...

The planning of metropolises is a challenging issue, as it guides the high-quality development of developing cities. Providing a development direction through rational planning while avoiding path dependency is a key challenge for developing cities pursuing high-quality development. This issue is di...

The southern Sichuan Basin is rich in natural gas and is a key area for hydrocarbon exploration. Due to multi-phase tectonic movements, structural characteristics and preservation conditions are critical for gas accumulation. Focusing on the Middle Permian Maokou Formation in the LY area, this study...

Crowdsourced software development (CSD) has gained increasing popularity in software engineering. However, empirical evidence on its sustainability remains limited. Although previous studies have suggested several sustainability-related factors, their applicability in real industrial CSD environment...

Breast cancer continues to be a predominant cause of cancer-related fatalities among women worldwide. Timely and precise diagnosis is essential for successful intervention and enhanced patient outcomes. Artificial intelligence (AI), especially deep learning (DL) methodologies, is swiftly revolutioni...