Predicting households' residential mobility trajectories with geographically localized interpretable model-agnostic explanation (GLIME)

C Jin, S Park, HJ Ha, J Lee, J Kim… - International Journal …, 2023 - Taylor & Francis
Human mobility analytics using artificial intelligence (AI) has gained significant attention with
advancements in computational power and the availability of high-resolution spatial data …

Analisis dan Perancangan Aplikasi Pelacakan Alumni (Tracer Study) untuk Perguruan Tinggi Swasta di Indonesia

M Utami, ED Putra - INTECOMS: Journal of Information …, 2022 - journal.ipm2kpe.or.id
Perkembangan teknologi informasi saat ini ini perlu dimanfaatkan untuk lembaga
pendidikan untuk dapat memantau perkembangan alumni dan memperhatikan peran …

[PDF][PDF] A comparative simulation study of classical and machine learning techniques for forecasting time series data

M Iaousse, Y Jouilil, M Bouincha, D Mentagui - iJOE, 2023 - academia.edu
This manuscript presents a simulation comparison of statistical classical methods and
machine learning algorithms for time series forecasting notably the ARIMA model, K-Nearest …

Comparative study of extraction features and regression algorithms for predicting drought rates

IH Rahmana, AR Febriyani… - TELKOMNIKA …, 2022 - telkomnika.uad.ac.id
Rice is the primary staple food source for Indonesian people, with consumption increasing
so that rice production needs to be increased. Rice drought is one of the problems that can …

Sentiment Analysis for People's Opinions about COVID-19 Using LSTM and CNN Models.

M Al-Khazaleh, M Alian, M Biltawi… - … Journal of Online & …, 2023 - search.ebscohost.com
The emergence of social media platforms, which contributed in activating the patterns of
connection between individuals, leads to the availability of a huge amount of content such …

Coupling graph neural networks and travel mode choice for human mobility prediction

K Wang, Z Peng, M Cai, H Wu, L Liu, Z Sun - Physica A: Statistical …, 2024 - Elsevier
Travel mode serves as the link for communication among people, between people and
objects, and between people and places. The human mobility is closely related to travel …

Exploring the potential of deep regression model for next-location prediction

P Shukla, S Shukla - Knowledge and Information Systems, 2024 - Springer
Location-based services are gaining popularity; prediction of future destinations and crowd
movement patterns are crucial components of these services. This article presents an …

Analisis Prediksi Genre Film Pada Internet Movie Database Indonesia Menggunakan Metode Long Short Term Memory

DNM Tampubolon, VV Hulu… - Jurnal Tekinkom …, 2023 - jurnal.murnisadar.ac.id
A film producer is a person who initiates, coordinates, supervises, and manages the
managerial and administrative aspects of film production. This research aims to predict the …

Multi-Layer Perceptron Neural Network and Internet of Things for Improving the Realtime Aquatic Ecosystem Quality Monitoring and Analysis.

S Nuanmeesri, L Poomhiran - International Journal of …, 2022 - search.ebscohost.com
This research proposes improving the aquarium environment for ornamental fish farming for
small enterprises raising ornamental fish for sale during the COVID-19 Pandemic with an …

Deep Neural Network Prediction Model of Hydrogen Content in VOD Process Based on Small Sample Dataset

W Yang, L Wang, W Zhang, J Li - Metallurgical and Materials Transactions …, 2022 - Springer
This work combines metallurgical thermodynamics and kinetics to train a high-accuracy and
low-cost deep neural network (DNN) prediction model for hydrogen content in vacuum …