Two prolific Florida python hunters reveal their essentials for success

We caught up with two professional python hunters and asked them what are the "essentials" that help them be successful in ...
AZoBuild

Machine Learning Improves Strength Predictions in Concrete

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
eLife

TopoMetry systematically learns and evaluates the latent geometry of single-cell data

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
IEEE

IntML-KNN: A Few-Shot Radio Frequency Fingerprint Identification Scheme for LoRa Devices

Abstract: Deep learning (DL) is widely used in radio frequency fingerprint identification (RFFI). However, in few-shot case, traditional DL-based RFFI need to construct auxiliary dataset to realize ...
IEEE

SecKNN: FSS-Based Secure Multi-Party KNN Classification Under General Distance Functions

Abstract: As a practical machine learning method, the K-nearest neighbors (KNN) classification has received widespread attention. The achievement of the KNN classification relies heavily on a large ...
GitHub

Unblur-SLAM: Dense Neural SLAM for Blurry Inputs

Welcome to the official repository for Unblur-SLAM, a dense neural RGB SLAM pipeline designed for sharp 3D reconstruction from blurry image inputs. In contrast to previous work, Unblur-SLAM can handle ...
GitHub

A Joint Modeling of Vision-Language-Action for Target-oriented Grasping in Clutter

We focus on the task of language-conditioned grasping in clutter, in which a robot is supposed to grasp the target object based on a language instruction. Previous works separately conduct visual ...