Xanadu, the University of Toronto and the National Research Council of Canada Unveil Quantum Algorithms for Lithium-ion Battery Simulations

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, has today announced a novel ...

Computational bio tool automates and standardizes genome sequencing analysis

In a single experiment, scientists can decipher the entire genomes of many patient samples, animal models, or cultured cells.
AZoM

Navigating the Complexities of Microplastics Analysis

With Raman microscopy, there's an additional layer of complexity: fluorescence. Particle fluorescence can overwhelm the Raman ...
Scientific Research Publishing

SymPcNSGA-Testing: A Hybrid Approach to Mitigate Path Explosion in Software Programs ()

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

The marketing measurement flywheel: A 4-step framework for proving impact

Learn how to connect platform ROAS, CRM data, incrementality testing, and marginal ROAS in a continuous marketing measurement ...
Analytics Insight

Decode the Problem: A Step-by-Step Guide to Algorithmic Thinking

Understand the problem first: Read the question carefully, identify inputs, outputs, and constraints before writing any code to avoid confusion and mistakes. Break complex problems into small steps: ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
IEEE

Comparative Analysis of the Proportional Distribution Method and the Random Forest Algorithm for Predicting Pedestrian Traffic Accident Risk

Abstract: The risk of pedestrian-involved traffic accidents represents a significant challenge to road safety and necessitates objective methods for analyzing the contributing factors. This study ...
IEEE

Genetic Algorithm-Based Two-Step Optimization for Precise Latent Factor Analysis

Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...