Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...

CBSE Class 12 Hindi Core Sample Paper 2025-26: The latest sample paper for the current school year 2025–2026 has been made available by the Central Board of Secondary Education. Students can download ...

Many businesses are just beginning to grapple with the impact of artificial intelligence, but some have been using machine learning (ML) and other emerging technologies for over a decade. Also: Most ...

Background: AIDS is a severe medical condition caused by the human immunodeficiency virus (HIV) that primarily attacks the immune system, specifically CD4+ T lymphocytes (a type of white blood cell ...

CARLSBAD, Calif.--(BUSINESS WIRE)--Arima Genomics, Inc., a company leveraging 3D genomics to reveal actionable insights that will empower researchers and clinicians to improve human health, today ...

There are numerous ways to run large language models such as DeepSeek, Claude or Meta's Llama locally on your laptop, including Ollama and Modular's Max platform. But if you want to fully control the ...

This paper presents a comparative study of ARIMA and Neural Network AutoRegressive (NNAR) models for time series forecasting. The study focuses on simulated data generated using ARIMA(1, 1, 0) and ...

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ABSTRACT: The energy sector is the second largest emitter of greenhouse (GHG) gases in Kenya, emitting about 31.2% of GHG emissions in the country. The aim of this study was to model Kenya’s GHG ...

Natural Language Processing (NLP) focuses on building computational models to interpret and generate human language. With advancements in transformer-based models, large language models (LLMs) have ...