IEEE

Comparison of Deep-Learning Models for Classification of Cellular Phenotype From Flow Cytometry Data

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...
2UrbanGirls on MSN

Where analytics meets innovation: Inside Ashutosh Agarwal’s transformational work

Ashutosh Agarwal is a specialist who connects analytics with practical strategy, who stands out in the era of digital ...
TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
eLife

Retrosplenial cortex enables context-dependent goal-directed sensorimotor transformation

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.
AlphaGalileo

PlantIF: Revolutionizing plant disease diagnosis with multimodal learning for precision agriculture

A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Learn With Jay on MSN

Python neural network for multiclass classification using softmax

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
Scientific Research Publishing

Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity ()

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
Analytics Insight

How to Automate ChatGPT: Step-by-Step Guide for Beginners

Overview ChatGPT automation helps reduce repetitive work by turning prompts into automatic actions across apps and systems.Beginners can start with no-code tool ...
Analytics Insight

Top Java Libraries for AI and Machine Learning in 2025

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
GitHub

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...
IEEE

An Efficient Satellite Images Classification Approach Based on Fuzzy Cognitive Map Integration With Deep Learning Models Using Improved Loss Function

Abstract: Classification applications in order to obtain the desired information from satellite images are one of the increasing areas of study. Remote sensing satellite images are very difficult to ...