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1

Enhanced Sliding-window Deep Learning for Earthquake Magnitude Prediction: A Multi-regional Study on USGS Data from Java–Bali, Iran, and Chile (1970– 2020).
Gunawan, Gunawan ; Purnomo, Hindriyanto Dwi ; Sembiring, Irwan ; et al.
International Journal of Intelligent Engineering & Systems; 2026, Vol. 19 Issue 2, p572-589, 18p

JAVA (Indonesia) EARTHQUAKE prediction DEEP learning COMPARATIVE studies CHILEANS GEOGRAPHICAL positions …
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2

Java 25 : Quoi de neuf ? (French)
Mathieu, Loïc
Programmez! Le Magazine des Programmeurs; nov/dec2025, Issue 272, p60-63, 4p, 1 Color Photograph

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3

Java 24: quelles nouveautés? (French)
Mathieu, Loïc
Programmez! Le Magazine des Programmeurs; oct/nov2025, Issue 271, p58-62, 5p, 1 Color Photograph

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4

Integrating interpretable artificial neural networks, geomorphic plausibility and transfer learning for landslide susceptibility mapping: a case study of Pacitan, East Java.
Mulabbi, Andrew ; Danoedoro, Projo ; Samodra, Guruh
Discover Sustainability; 10/27/2025, Vol. 6 Issue 1, p1-29, 29p

JAWA Timur (Indonesia) ARTIFICIAL neural networ... TRANSFER of training SURFACE of the earth HAZARD mitigation LANDSLIDE hazard analysi... …
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5

Empirical analyses of genetic algorithm and grey wolf optimiser to improve their efficiency with a new multi-objective weighted fitness function for feature selection in machine learning classification: the roadmap.
Davahli, Azam ; Shamsi, Mahboubeh ; Abaei, Golnoush ; et al.
Journal of Experimental & Theoretical Artificial Intelligence. Feb2023, Vol. 35 Issue 2, p171-206. 36p.

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7

Application of Artificial Neural Networks for Classifying Earthworms (Eudrilus eugeniae) Moisture Content During the Drying Process.
Hendrawan, Yusuf ; Ambarwati, Mei Lusi ; Lastriyanto, Anang ; et al.
Pertanika Journal of Science & Technology; 2025 Special Issue, Vol. 33, p43-58, 16p

ARTIFICIAL neural networ... EARTHWORMS DRYING apparatus SURFACE texture COMPUTER vision MOISTURE …
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8

Enabling resilient wide‐area POD at BESS in Java, Indonesia 500 kV power grid.
Setiadi, Herlambang ; Mithulananthan, Nadarajah ; Shah, Rakibuzzaman ; et al.
IET Generation, Transmission & Distribution (Wiley-Blackwell). Aug2019, Vol. 13 Issue 15, p3734-3744. 11p.

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9

A multi-objective discrete differential evolution algorithm for energy-efficient distributed blocking flow shop scheduling problem.
Zhao, Fuqing ; Zhang, Hui ; Wang, Ling ; et al.
International Journal of Production Research. Jun2024, Vol. 62 Issue 12, p4226-4244. 19p.

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10

From Specification to Optimisation: An Architecture for Optimisation of Java Bytecode.
Warburton, Richard ; Kalvala, Sara
Compiler Construction: 18th International Conference, Cc 2009, Held as Part of the Joint European Conferences on Theory & Practice of Software, Etaps 2009, York, Uk, March 22-29, 2009. Proceedings; 2009, p17-31, 15p

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11

Java 23 : quoi de neuf ? (French)
Mathieu, Loïc
Programmez! Le Magazine des Programmeurs; nov/dec2024, Issue 266, p59-61, 3p, 9 Color Photographs

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12

Evolving continuous optimisers from scratch.
Lones, Michael A.
Genetic Programming & Evolvable Machines; Dec2021, Vol. 22 Issue 4, p395-428, 34p

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13

Local search-based meta-heuristics combined with an improved K-Means++ clustering algorithm for unmanned surface vessel scheduling.
Tang, Weiyu ; Gao, Kaizhou ; Ma, Zhenfang ; et al.
International Journal of Production Research. Sep2025, Vol. 63 Issue 17, p6339-6363. 25p.

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14

Clustering based assessment of cost, security and environmental tradeoffs with possible future electricity generation portfolios
Tanoto, Yusak ; Haghdadi, Navid ; Bruce, Anna ; et al.
In Applied Energy 15 July 2020 270

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16

Evolutionary Solo Pong players
Langdon, W.B. ; Poll, R.
2005 IEEE Congress on Evolutionary Computation Evolutionary Computation Evolutionary Computation, 2005. The 2005 IEEE Congress on. 3:2621-2628 Vol. 3 2005

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17

Layout metrics for Euler diagrams
Flower, J. ; Rodgers, P. ; Mutton, P.
Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003. Information visualization Information Visualization, 2003. IV 2003. Proceedings. Seventh International Conference on. :272-280 2003

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18

Improving efficiency of steel converter facility: a digital twin and reinforcement learning approach.
Kumar, Amit ; Kumar, Ramesh
International Journal of Production Research. Apr2025, p1-16. 16p. 11 Illustrations.

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19

Continuous integration of architectural performance models with parametric dependencies – the CIPM approach.
Mazkatli, Manar ; Monschein, David ; Armbruster, Martin ; et al.
Automated Software Engineering; Nov2025, Vol. 32 Issue 2, p1-79, 79p

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20

Optimisation of language-integrated queries by query unnesting
Kowalski, Tomasz Marek ; Adamus, Radosław
In Computer Languages, Systems & Structures January 2017 47 Part 2:131-150

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