ASTIF: Adaptive Semantic-Temporal Integration for Cryptocurrency Price Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Rehman, Hafiz Saif Ur, Liu, Ling, Qasim, Kaleem Ullah |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Complexity Agnostic Recursive Decomposition of Thoughts
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
by: Qasim, Kaleem Ullah, et al.
Published: (2025)
VERIFY-RL: Verifiable Recursive Decomposition for Reinforcement Learning in Mathematical Reasoning
by: Qasim, Kaleem Ullah, et al.
Published: (2026)
by: Qasim, Kaleem Ullah, et al.
Published: (2026)
The Residual Stream Is All You Need: On the Redundancy of the KV Cache in Transformer Inference
by: Qasim, Kaleem Ullah, et al.
Published: (2026)
by: Qasim, Kaleem Ullah, et al.
Published: (2026)
Forecasting Cryptocurrency Prices using Contextual ES-adRNN with Exogenous Variables
by: Smyl, Slawek, et al.
Published: (2025)
by: Smyl, Slawek, et al.
Published: (2025)
FOLC-Net: A Federated-Optimized Lightweight Architecture for Enhanced MRI Disease Diagnosis across Axial, Coronal, and Sagittal Views
by: Khan, Saif Ur Rehman, et al.
Published: (2025)
by: Khan, Saif Ur Rehman, et al.
Published: (2025)
Dynamic Weight Adjustment for Knowledge Distillation: Leveraging Vision Transformer for High-Accuracy Lung Cancer Detection and Real-Time Deployment
by: Khan, Saif Ur Rehman, et al.
Published: (2025)
by: Khan, Saif Ur Rehman, et al.
Published: (2025)
A Multisource Fusion Framework for Cryptocurrency Price Movement Prediction
by: Dashtaki, Saeed Mohammadi, et al.
Published: (2024)
by: Dashtaki, Saeed Mohammadi, et al.
Published: (2024)
Forecasting Commodity Price Shocks Using Temporal and Semantic Fusion of Prices Signals and Agentic Generative AI Extracted Economic News
by: Ghali, Mohammed-Khalil, et al.
Published: (2025)
by: Ghali, Mohammed-Khalil, et al.
Published: (2025)
Probabilistic Forecasting Cryptocurrencies Volatility: From Point to Quantile Forecasts
by: Dudek, Grzegorz, et al.
Published: (2025)
by: Dudek, Grzegorz, et al.
Published: (2025)
DecoKAN: Interpretable Decomposition for Forecasting Cryptocurrency Market Dynamics
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
Dual-Encoder Transformer-Based Multimodal Learning for Ischemic Stroke Lesion Segmentation Using Diffusion MRI
by: Usman, Muhammad, et al.
Published: (2025)
by: Usman, Muhammad, et al.
Published: (2025)
Prompt-Driven Image Analysis with Multimodal Generative AI: Detection, Segmentation, Inpainting, and Interpretation
by: Ahmad, Kaleem
Published: (2025)
by: Ahmad, Kaleem
Published: (2025)
AI-Driven Clinical Decision Support System for Enhanced Diabetes Diagnosis and Management
by: Rehman, Mujeeb Ur, et al.
Published: (2026)
by: Rehman, Mujeeb Ur, et al.
Published: (2026)
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection
by: Zheng, Zhi, et al.
Published: (2025)
by: Zheng, Zhi, et al.
Published: (2025)
Utilizing RNN for Real-time Cryptocurrency Price Prediction and Trading Strategy Optimization
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)
by: Tumpa, Shamima Nasrin, et al.
Published: (2024)
Enhancing Price Prediction in Cryptocurrency Using Transformer Neural Network and Technical Indicators
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)
by: Khaniki, Mohammad Ali Labbaf, et al.
Published: (2024)
Dynamic Bayesian Networks for Predicting Cryptocurrency Price Directions: Uncovering Causal Relationships
by: Amirzadeh, Rasoul, et al.
Published: (2023)
by: Amirzadeh, Rasoul, et al.
Published: (2023)
FEATHer: Fourier-Efficient Adaptive Temporal Hierarchy Forecaster for Time-Series Forecasting
by: Lee, Jaehoon, et al.
Published: (2026)
by: Lee, Jaehoon, et al.
Published: (2026)
Adaptive Spatio-Temporal Graphs with Self-Supervised Pretraining for Multi-Horizon Weather Forecasting
by: Liu, Yao
Published: (2025)
by: Liu, Yao
Published: (2025)
A Multimodal-Multitask Framework with Cross-modal Relation and Hierarchical Interactive Attention for Semantic Comprehension
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)
by: Rehman, Mohammad Zia Ur, et al.
Published: (2025)
KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making
by: Rehman, Mohammad Zia Ur, et al.
Published: (2024)
by: Rehman, Mohammad Zia Ur, et al.
Published: (2024)
Reprogramming Vision Foundation Models for Spatio-Temporal Forecasting
by: Chen, Changlu, et al.
Published: (2025)
by: Chen, Changlu, et al.
Published: (2025)
Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach
by: Liu, Qingxiang, et al.
Published: (2024)
by: Liu, Qingxiang, et al.
Published: (2024)
The Laminar Flow Hypothesis: Detecting Jailbreaks via Semantic Turbulence in Large Language Models
by: Rahman, Md. Hasib Ur
Published: (2025)
by: Rahman, Md. Hasib Ur
Published: (2025)
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
by: Zhou, Fan, et al.
Published: (2024)
by: Zhou, Fan, et al.
Published: (2024)
A Multimodal Framework for Depression Detection during Covid-19 via Harvesting Social Media: A Novel Dataset and Method
by: Anshul, Ashutosh, et al.
Published: (2025)
by: Anshul, Ashutosh, et al.
Published: (2025)
From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space
by: Li, Lehui, et al.
Published: (2026)
by: Li, Lehui, et al.
Published: (2026)
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting
by: Zhou, Han, et al.
Published: (2024)
by: Zhou, Han, et al.
Published: (2024)
Adapting LLMs to Time Series Forecasting via Temporal Heterogeneity Modeling and Semantic Alignment
by: Sun, Yanru, et al.
Published: (2025)
by: Sun, Yanru, et al.
Published: (2025)
STAR: Semantic-Temporal Adaptive Representation Learning for Few-Shot Action Recognition
by: Liu, Hongli, et al.
Published: (2026)
by: Liu, Hongli, et al.
Published: (2026)
A Transformer approach for Electricity Price Forecasting
by: Llorente, Oscar, et al.
Published: (2024)
by: Llorente, Oscar, et al.
Published: (2024)
Forecasting Day-Ahead Electricity Prices in the Integrated Single Electricity Market: Addressing Volatility with Comparative Machine Learning Methods
by: Harkin, Ben, et al.
Published: (2024)
by: Harkin, Ben, et al.
Published: (2024)
RePST: Language Model Empowered Spatio-Temporal Forecasting via Semantic-Oriented Reprogramming
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Active Inference-Driven World Modeling for Adaptive UAV Swarm Trajectory Design
by: Arshid, Kaleem, et al.
Published: (2026)
by: Arshid, Kaleem, et al.
Published: (2026)
Coinvisor: An RL-Enhanced Chatbot Agent for Interactive Cryptocurrency Investment Analysis
by: Chen, Chong, et al.
Published: (2025)
by: Chen, Chong, et al.
Published: (2025)
Hybrid Approach for Electricity Price Forecasting using AlexNet and LSTM
by: Sambana, Bosubabu, et al.
Published: (2025)
by: Sambana, Bosubabu, et al.
Published: (2025)
Airport Passenger Flow Forecasting via Deformable Temporal-Spectral Transformer Approach
by: Du, Wenbo, et al.
Published: (2025)
by: Du, Wenbo, et al.
Published: (2025)
Similar Items
-
Complexity Agnostic Recursive Decomposition of Thoughts
by: Qasim, Kaleem Ullah, et al.
Published: (2025) -
Recursive Decomposition of Logical Thoughts: Framework for Superior Reasoning and Knowledge Propagation in Large Language Models
by: Qasim, Kaleem Ullah, et al.
Published: (2025) -
Accelerating Training Speed of Tiny Recursive Models with Curriculum Guided Adaptive Recursion
by: Qasim, Kaleem Ullah, et al.
Published: (2025) -
MARBLE: A Multi-Agent Rule-Based LLM Reasoning Engine for Accident Severity Prediction
by: Qasim, Kaleem Ullah, et al.
Published: (2025) -
VERIFY-RL: Verifiable Recursive Decomposition for Reinforcement Learning in Mathematical Reasoning
by: Qasim, Kaleem Ullah, et al.
Published: (2026)