Research Radar
A unified intelligence feed of emerging AI, SaaS, and architectural models extracted directly from peer-reviewed scientific literature.
Crop pest identification using deep network based extracted features and MobileENet in smart agriculture
AbstractAgriculture has been considered an important source of food for humans throughout history. Plant pests cause significant damage to crops and reduce the productivity of global crop yields. Therefore, it is important to identify the plant pe...
HCF-Net: Hierarchical Context Fusion Network for Infrared Small Object Detection
Efficiency Optimization Techniques in Privacy-Preserving Federated Learning With Homomorphic Encryption: A Brief Survey
Impacts of Climate Change and Mitigation Strategies for Some Abiotic and Biotic Constraints Influencing Fruit Growth and Quality
Factors such as extreme temperatures, light radiation, and nutritional condition influence the physiological, biochemical, and molecular processes associated with fruit development and its quality. Besides abiotic stresses, biotic constraints can ...
A Review of Precision Irrigation Water-Saving Technology under Changing Climate for Enhancing Water Use Efficiency, Crop Yield, and Environmental Footprints
Water is considered one of the vital natural resources and factors for performing short- and long-term agricultural practices on Earth. Meanwhile, globally, most of the available freshwater resources are utilized for irrigation purposes in agricul...
A strategy for tough and fatigue-resistant hydrogels via loose cross-linking and dense dehydration-induced entanglements
AbstractOutstanding overall mechanical properties are essential for the successful utilization of hydrogels in advanced applications such as human-machine interfaces and soft robotics. However, conventional hydrogels suffer from fracture toughness...
Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications
AbstractThe increasing prevalence of Artificial Intelligence (AI) in higher education underscores the necessity to explore its implications on ethical, social, and educational dynamics within the sector. This study aims to comprehensively investig...
2D Gaussian Splatting for Geometrically Accurate Radiance Fields
VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality
Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion
MotionCtrl: A Unified and Flexible Motion Controller for Video Generation
Optimizing high-temperature energy storage in tungsten bronze-structured ceramics via high-entropy strategy and bandgap engineering
AbstractAs a vital material utilized in energy storage capacitors, dielectric ceramics have widespread applications in high-power pulse devices. However, the development of dielectric ceramics with both high energy density and efficiency at high t...
Maximizing Cloud Security: Empirical Evaluation of an Efficient Identity oriented Signature Verification Scheme for Wireless Networks
Generative AI enhances individual creativity but reduces the collective diversity of novel content
Creativity is core to being human. Generative artificial intelligence (AI)—including powerful large language models (LLMs)—holds promise for humans to be more creative by offering new ideas, or less creative by anchoring on generative AI ideas. We...
Partitioning polar-slush strategy in relaxors leads to large energy-storage capability
Relaxor ferroelectric (RFE) films are promising energy-storage candidates for miniaturizing high-power electronic systems, which is credited to their high energy density ( U e ) and efficiency. However, advancin...
Evaluating and Improving ChatGPT for Unit Test Generation
Unit testing plays an essential role in detecting bugs in functionally-discrete program units ( e.g. , methods). Manually writing high-quality unit tests is time-consuming and laborious. Although the traditi...
The Role of the Microalgae–Bacteria Consortium in Biomass Formation and Its Application in Wastewater Treatment Systems: A Comprehensive Review
The optimization of wastewater treatment technologies using biological processes is no longer limited to improving the removal of organic matter and nutrients, as it is possible to reduce area and energy consumption, and recover value-added by-pro...
An overview of implementing security and privacy in federated learning
AbstractFederated learning has received a great deal of research attention recently,with privacy protection becoming a key factor in the development of artificial intelligence. Federated learning is a special kind of distributed learning framework...
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM
AbstractCrop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enabl...
Designing Temperature-Insensitive Solvated Electrolytes for Low-Temperature Lithium Metal Batteries
SaaS Metrics
Academic Publication