Skip to content

usdaed

  • Science
  • Who is Denis Avetissian?

Science

Predicting the Future of Spacecraft: A New Forecasting Model

24.12.2025 by qfx

Researchers have developed an advanced machine learning model to accurately project spacecraft lifespans and improve long-term technology forecasting in space exploration.

Categories Science

Decoding Digital Distress: Predicting User Frustration Online

24.12.2025 by qfx

The LSTM classifier demonstrates robust performance, achieving convergence during training and exhibiting strong generalization capabilities as evidenced by the close alignment of training and validation loss curves.

New research explores how machine learning can identify moments of user frustration from their browsing behavior, offering a path towards more responsive and user-friendly online experiences.

Categories Science

Can GIFs Predict the Stock Market?

24.12.2025 by qfx

New research reveals a surprising link between visual communication on social media and short-term stock market performance.

Categories Science

Decoding Crypto Volatility: A New Approach to Market Forecasting

24.12.2025 by qfx

DecoKAN establishes a framework for interpretable time series forecasting, decomposing complex dependencies into a sum of kernelized attention networks to facilitate transparent and mathematically rigorous predictions.

Researchers have developed a novel framework that combines signal processing with interpretable machine learning to predict cryptocurrency price movements with greater accuracy and transparency.

Categories Science

Charting Anomalies at Sea: A New Benchmark for Maritime Monitoring

24.12.2025 by qfx

Preliminary results demonstrate that integrating Graph Neural Networks into both LSTM and Transformer-based time-series models-denoted as “TRANS”-enhances performance across varying trajectory settings, as indicated by the comparative analysis of these models.

Researchers have created a comprehensive dataset and evaluation framework to improve the detection of unusual activity in complex maritime environments.

Categories Science

Decoding Sri Lankan Markets: A Data-Driven Approach

24.12.2025 by qfx

New research combines natural language processing, macroeconomic data, and advanced forecasting to unlock predictive signals in Sri Lanka’s stock market.

Categories Science

Decoding Market Mood: AI-Powered Sentiment Analysis for India’s NIFTY 50

24.12.2025 by qfx

An adaptive sentiment analysis pipeline is proposed, allowing for nuanced understanding as systems inevitably evolve and degrade over time, rather than remaining static assessments within a fixed framework.

A new approach combines the power of large language models, real-time news retrieval, and reinforcement learning to better understand investor sentiment and predict stock market movements.

Categories Science

The AI Analyst: Productivity Gains and the Perils of Information Overload

24.12.2025 by qfx

The evolution of analytical methods within analyst reports reveals a shifting landscape, where techniques are not simply adopted, but instead wax and wane over time - a testament to the ephemeral nature of perceived analytical advantage and the inevitable entropy of even the most rigorously applied methodologies.

Generative AI is rapidly changing the landscape for financial analysts, but new research reveals a hidden cost to increased data synthesis.

Categories Science

Hunting for Fast Radio Bursts with AI

24.12.2025 by qfx

The study utilizes training samples from multibeam datasets to differentiate between radio frequency interference (RFI)-manifesting as impulsive bursts, point sources, satellite signals, and narrowband emissions distributed across seven beams-and fast radio bursts (FRBs), which appear sporadically within a single beam, building upon a seven-channel framework established in prior work to isolate transient astronomical events.

A new deep learning approach dramatically accelerates the search for these enigmatic cosmic flashes by bypassing traditional signal processing bottlenecks.

Categories Science

Beyond Black Boxes: A Smarter Path to Explainable AI

24.12.2025 by qfx

The Hybrid LRR-TED pipeline integrates automated statistical discovery with granular expert refinement, fusing rules governing safety and risk into a unified Explanation Matrix to initialize a supervised classifier, thereby establishing a pathway from broad observation to precise, knowledge-driven prediction.

A new hybrid approach combines the power of automated rule discovery with focused human guidance to build AI systems that are both accurate and easily understood.

Categories Science
Older posts
Newer posts
← Previous Page1 … Page42 Page43 Page44 … Page89 Next →
© 2026 usdaed • Built with GeneratePress