GitHub

vsenthamizh1306-maker/TimeSeries

Advanced Time Series Forecasting with Deep Learning and Attention Mechanisms This project implements and evaluates a sophisticated deep learning model for time series forecasting, specifically ...
Frontiers

Research on non-destructive detection model of tomato fruit quality based on electrical properties and machine learning algorithms

1 Key Laboratory of Southern Xinjiang Production and Construction Corps, College of Horticulture and Forestry, Tarim University, Alar, Xinjiang, China 2 Facility Agriculture Department, First Division ...
labs.sogeti

PREDICTING IOT NETWORK CONGESTION WITH ARTIFICIAL

This research paper presents a proactive approach to congestion control in IoT networks using an encoder–decoder LSTM (ED-LSTM) model to predict packet loss ratios ahead of time. By forecasting ...
Scientific Research Publishing

Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P. and Shroff, G. (2016) LSTM-Based Encoder-Decoder for Multi-Sensor Anomaly Detection.

ABSTRACT: This work presents an innovative Intrusion Detection System (IDS) for Edge-IoT environments, based on an unsupervised architecture combining LSTM networks and Autoencoders. Deployed on ...
Oak Ridge National Lab

Enhancing Multi-Step Reservoir Inflow Forecasting: A Time-Variant Encoder–Decoder Approach...

Accurate reservoir inflow forecasting is vital for effective water resource management. Reliable forecasts enable operators to optimize storage and release strategies to meet competing sectoral ...
ascopubs.org

Next-generation U-Net Encoder: Decoder for accurate, automated CTC detection from images of peripheral blood nucleated cells stained with EPCAM and DAPI.

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...
Frontiers

Comparison of machine learning methods for predicting ground-level ozone pollution in Beijing

With the accelerating pace of urbanization, air pollution has emerged as a critical global challenge, where ozone (O 3) concentration dynamics have become a pivotal indicator of atmospheric quality ...
GitHub

Experimental LSTM + Multi-Head Attention Model + LLM decoding strategies for Football Commentary Generation

This repository contains a PyTorch implementation of a sequence-to-sequence model for football commentary generation from a structured events & stats input. The model utilizes Bi-directional LSTM ...