Comparing FIFO and LIFO Inventory Valuation Methods

Explore how FIFO and LIFO inventory methods affect your balance sheet, cost of goods sold, and net profit. Understand why ...
CIO

Translating data science capabilities into business ROI

Data science pays off when you stop pitching models and start solving the decisions that keep executives up at night.

MicroCloud Hologram Inc. Proposes Quantum AI Simulator Adopting Hybrid CPU-FPGA Method, Achieving Efficient Image Classification Simulation Through Heterogeneous Computing

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

Xue Li Enhancing Energy Storage Systems Through Battery State-of-Health Estimation and Intelligent Control Strategies

A dual-model battery health assessment framework analyzes real-world voltage data from retired EV batteries in grid storage. Using incremental ...
IEEE

A Malware Classification Method Based on Knowledge Distillation and Feature Fusion

Abstract: TAs the number of web users continues to increase, the frequency of malicious attacks carried out by malware is also on the rise. The emergence of many new malware variants has resulted in ...
The Lancet

When to and when not to use machine learning in risk prediction models

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...
Nevada Independent

Nevada unveils new statewide data classification policy months after cyberattack

Nevada’s IT agency has rolled out a new policy aimed at standardizing the privacy of state data, months after a massive cyberattack crippled certain systems for weeks. The policy announced Wednesday ...
IEEE

Sample Denoising and Optimization Technique Based on Noise Filtering and Evolutionary Algorithms for Imbalanced Data Classification

Abstract: Imbalanced data remains a challenge in classification research and significantly influences classifier performance. The strategy that is widely used to address this issue is the data-level ...