Abstract: The rise of quantum computing threatens traditional cryptographic systems, driving the urgent adoption of PQC algorithms for securing IoT and edge computing environments. However, selecting ...

Fueled by artificial intelligence (AI) algorithms, various AI embodiments, such as autonomous vehicles, robotic manipulators, and humanoid robots, have made significant advances yet remain far from ...

Artificial intelligence (AI) is becoming the core engine driving how cities think, build, and evolve. From energy-efficient construction and resilient infrastructure to citizen-centered design, AI can ...

⚡ Comprehensive collection of Design & Analysis of Algorithms 🚀 | Includes 🧮 Sorting, 💡 Dynamic Programming, 🎯 Greedy, 🌐 Graph, and 🔤 String Matching | Implemented in ⚙️ C++ with STL | Perfect ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

ABSTRACT: This study investigates the effects of AI-mediated communication (AMC) on trust-building and negotiation outcomes in professional remote collaboration settings. Through a mixed-methods ...

Buildings are an important part of the energy consumption of cities. With recent developments in integrated energy systems in buildings, the need for a smart energy management system (EMS) has ...

ABSTRACT: The integration of artificial intelligence into the development and production of mechatronic products offers a substantial opportunity to enhance efficiency, adaptability, and system ...

Abstract: Sparse matrix computations are an important class of algorithms. One of the important topics in this field is SPCA (Sparse Principal Component Analysis), a variant of PCA. SPCA is used to ...