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 ...
Microplastics, Microbes, and Water Waves: Nanopore Sequencing and Urban Environmental Sensors for Place-Based Applied Ecological Research Integrating Textual Analytics, Machine Learning, and AI ...
Post and Feedback: Generated videos can be published directly on Social media and ad platforms through Buzzy. With Buzzy, ...
One of the most detailed 3D maps of how the human chromosomes are organized and folded within a cell's nucleus is published ...
I rely on data for clarity and risk transparency, but instinct shapes how I interpret it. My approach combines analytical ...
Triglia discusses her research at the intersection of genetics, epigenetics, single-cell genomics and computational biology.
A study using NASA’s TESS data finds that aging Sun-like stars lose close-orbit planets as they evolve, offering insight into the long-term fate of planetary systems ...
Discover leading, coincident, and lagging business cycle indicators to predict economic trends, using insights from the Conference Board.
Our BAM file format converter is a web-based tool for manipulating genomic data. It lets researchers convert BAM (Binary Alignment Map) files, which store large amounts of sequence alignment data, ...
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