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[HTML][HTML] Effectiveness of generative ai for post-earthquake damage assessment
JMC Estêvão - Buildings, 2024 - mdpi.com
After an earthquake, rapid assessment of building damage is crucial for emergency
response, reconstruction planning, and public safety. This study evaluates the performance …
response, reconstruction planning, and public safety. This study evaluates the performance …
Modeling the Centaur: Human-Machine Synergy in Sequential Decision Making
D Shoresh, Y Loewenstein - arxiv preprint arxiv:2412.18593, 2024 - arxiv.org
The field of collective intelligence studies how teams can achieve better results than any of
the team members alone. The special case of human-machine teams carries unique …
the team members alone. The special case of human-machine teams carries unique …
The bread emoji Team's Submission to the IEEE BigData 2024 Cup: Predicting Chess Puzzle Difficulty Challenge
T Woodruff, O Filatov, M Cognetta - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
We detail the bread emoji team's submission to the IEEE BigData 2024 Predicting Chess
Puzzle Difficulty Challenge. Our solution revolved around the use of ensembled, pretrained …
Puzzle Difficulty Challenge. Our solution revolved around the use of ensembled, pretrained …
Study of the Proper NNUE Dataset
D Tan, NW Medina - arxiv preprint arxiv:2412.17948, 2024 - arxiv.org
NNUE (Efficiently Updatable Neural Networks) has revolutionized chess engine
development, with nearly all top engines adopting NNUE models to maintain competitive …
development, with nearly all top engines adopting NNUE models to maintain competitive …
Exploration of Multi-Agent Reinforcement Learning for ISR Flight Path Planning
LM **e, E Conway, H Cheng… - NAECON 2024-IEEE …, 2024 - ieeexplore.ieee.org
Intelligence, Surveillance, and Reconnaissance (ISR) management currently involves
human-operated processes that manage extensive raw data processing and analysis …
human-operated processes that manage extensive raw data processing and analysis …
Bridging the Gap Between Artificial and Human Intelligence Using Chess as a Model System
RH McIlroy-Young - 2023 - search.proquest.com
In the past half century Artificial Intelligence (AI) agents have grown to become embedded in
modern life. Understanding why these AI agents make decisions has become increasingly …
modern life. Understanding why these AI agents make decisions has become increasingly …
[PDF][PDF] APPLICATION OF ANN MODEL IN MECHANICAL ENGINEERING EDUCATION TO ENHANCE COGNITIVE SKILLS IN CHILDREN THROUGH CHESS AND …
DA Milošević, D Ilić, D Trnavac - Booklet of Abstracts - repo.pw.edu.pl
Building on the experience of applying the Artificial Neural Network (ANN) model in
mechanical engineering education at the Faculty of Economics and Engineering …
mechanical engineering education at the Faculty of Economics and Engineering …
Posudek oponenta závěrečné práce
LT Petrželka - dspace.cvut.cz
Tato práce se zaměřuje na výzkum generování šachových pozic, které splňují zadané
omezení, a to s využitím neuronových sítí ve spojení s procházením stromu hry. Je …
omezení, a to s využitím neuronových sítí ve spojení s procházením stromu hry. Je …
[PDF][PDF] THESIS/THÈSE
S Gillet - 2013 - pure.unamur.be
Tous les organismes vivent en constante interaction avec leur milieu. S'adapter pour
survivre et se reproduire est une clé de l'évolution. Caulobacter crescentus, une …
survivre et se reproduire est une clé de l'évolution. Caulobacter crescentus, une …
[ЦИТАТА][C] Mesin Catur Berbasis Neural Network Menggunakan Long Short Term Memory (LSTM)
Catur diperkirakan memiliki sekitar 1043 kemungkinan posisi. Angka tersebut jauh
melampaui kemampuan komputasi komputer yang ada saat ini, sehingga mengembangkan …
melampaui kemampuan komputasi komputer yang ada saat ini, sehingga mengembangkan …