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Fish only double-digit bass using giant baits successfully

The expert anglers at Milliken Fishing explain why massive baits are the key to landing double-digit bass. Spain suffers second major train crash in days Suspected gunman uttered 4 words before ...
IEEE

Handwritten Digit Recognition Using SVM with Gradient Optimized RBF Kernel

Abstract: Optical character recognition of handwritten digits is a fundamental problem in pattern recognition and machine learning that is used as reference problem in evaluating the performance of ...
Forbes

ICE To Pay Up To $10 Million For Clearview Facial Recognition To Investigate Agent Assaults

As ICE ramps up its attempts to locate and deport undocumented immigrants, it’s faced a massive backlash in some parts of the U.S., including protests and, on occasion, attacks of ICE agents. Now, to ...
Frontiers

Artificial liver classifier: a new alternative to conventional machine learning models

1 Department of Computer Science, University of Technology, Baghdad, Iraq 2 Department of Computer Science and Engineering, Artificial Intelligence and Innovation Centre (AIIC), University of ...
GitHub

GSSOC'25: Handwritten digit recognition using mnist dataset

This project involves building a machine learning model to classify human physical activities such as walking, sitting, standing, and laying, based on accelerometer and gyroscope data collected from ...
IEEE

Retraction Notice: MNIST Handwritten Digit Recognition using Machine Learning

Abstract: Identification of the MNIST database that will be in handwritten digit can be recognized by the machine. It can be recognized that the human handwritten form into the machine language. Here ...
GitHub

mnist-digit-recognition

The popular MNIST dataset is used for the digit recognition task using different machine learning algorithms such as KNN and SVM with HOG features. A simple feed-forward neural network is also used ...