Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...
C compiler, LustreC, into a generator of both executable code and associated specification. Model-based design tools are ...
Cryptopolitan on MSN
Buterin suggests using zero-knowledge proofs in social algorithms
Vitalik Buterin proposes using zero-knowledge proofs to make social media algorithms verifiable without exposing code or user ...
In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...
Greenhouse environmental regulation can create an optimal environment for the growth of greenhouse crops and effectively improve their production conditions. This study aimed to develop an intelligent ...
Esophageal cancer is a common malignancy with high incidence and mortality rates. Its pathological types vary by region, with squamous cell carcinoma predominant in Asia and adenocarcinoma in Western ...
Abstract: Range-free localization algorithms have attracted considerable attention for outdoor wireless sensor network (WSN) positioning because they are less susceptible to environmental factors when ...
A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and more useful. PROVIDENCE, R.I. [Brown University] — With the rise of 3D ...
Abstract: This paper proposes a new algorithm for solving the robot path planning problem which includes finding a path from a source to a destination subject to certain constraints. First, using the ...
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