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Green Intelligent Systems and Applications

Green Intelligent Systems and Applications (GISA)

Open Access (OA) Journal

Green Intelligent Systems and Applications (e-ISSN: 2809-1116) is an international, scientific, peer-reviewed, open-access journal on theoretical and applied sciences related to all aspects of green technologies and intelligent systems published biannually online by Tecno Scientifica Publishing and supported by Society of Tropical Science and Technology. Open Access — free for readers. High Visibility: indexed within CrossRef, Sinta 3, Scilit, Google Scholar, and many other databases. Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 3 weeks after submission. About GISA journal | All volumes & issues

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2016
2026
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Keyword = Regression
Journal = Green Intelligent Systems and Applications
Found 5 items.
Design an Electricity Consumption Prediction Information System Using the Monte Carlo-Based Regression Tree Method

Author(s): Junira Merrylin Ng, Genrawan Hoendarto, Thommy Willay
99 views | Pages: 181-190

Comparative Study of Base Transceiver Stations Infrastructure Planning Using Machine Learning for Under Construction Area: A Case Study of Ibu Kota Nusantara

Author(s): Alfiyah Shaldzabila Yustin, Catur Apriono
441 views | Pages: 54-65

Land Subsidence Prediction and Geo Environmental Predictor Importance Assessment in Jakarta, Semarang, and Pekalongan Using InSAR and Ensemble Machine Learning

Author(s): Luthfy Azh-Zhaviery Puary, Panca Dewi Pamungkasari, Endah Tri Esti Handayani, Rendi Handika, Babag Purbantoro, Joko Widodo, Damy Matheus Heezen
3 views | Pages: 244−267

Performance Analysis of the Multivariate Multiple Linear Regression Algorithm for Economic Growth Based on Oil Palm Plantation Land Expansion in North Sumatra Province

Author(s): Afridayani, Erna Budhiarti Nababan, Baihaqi Siregar
7 views | Pages: 207−216

Analysis of the Effect of Attributes on Single Tuition Fee Grouping Using Multiple Linear Regression and Extreme Gradient Boosting

Author(s): Dea Annona Prayetno Putri, Erna Budhiarti Nababan, Mohammad Andri Budiman
2 views | Pages: 217−230

1 - 5 of 5 items