Results 51 to 60 of about 11,734,216 (296)

SENTRIN- Mesin Catur Berbasis Neural Network Menggunakan Long Short Term memory (LSTM)

Jurnal Teknologi Informasi dan Ilmu Komputer
Catur diperkirakan memiliki sekitar 1043 kemungkinan posisi. Angka tersebut jauh melampaui kemampuan komputasi komputer yang ada saat ini, sehingga mengembangkan sebuah mesin catur dengan mempertimbangkan seluruh kemungkinan posisi dianggap tidak ...
Rafi Indra Fattah, Putra Pandu Adikara, Budi Darma Setiawan   +2 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Based on VMD and IDBO-LSTM

IEEE Access, 2023
To improve the accuracy of short term traffic flow prediction and to solve the problems of nonlinearity of short term traffic flow, more noise in the data, and more difficult to determine the parametes of long short term memory networks, a combined ...
Ke Zhao, Dudu Guo, Miao Sun, Chenao Zhao, Hongbo Shuai   +4 more
doaj   +1 more source

Programming Neuromorphic Plasticity Through Ionic and Electronic Coupling in Organic Electrochemical Transistors

Advanced Functional Materials, EarlyView.
Neuromorphic plasticity in OECTs is governed by the post‐stimulus evolution of coupled ionic and electronic states. Semiconductor chemistry and morphology, electrolyte composition and interfaces, and device architecture regulate ion injection, transport, confinement, and release, shifting responses from rapidly relaxing STP to metastable memory and ...
Inho Lee, Hyoik Jang, Ji Hwan Kim, Jonghyun Won, Namhee Kim, Wonseok Shin, Giwon Lee, Eunho Lee, Daegun Kim, Sungjun Park   +9 more
wiley   +1 more source

SISTEM CHATBOT LAYANAN INFORMASI TUGAS AKHIR MENGGUNAKAN METODE LONG SHORT-TERM MEMORY (LSTM) [PDF]

, 2023
Teknologi berkembang pesat, termasuk kecerdasan buatan seperti chatbot. Chatbot memiliki manfaat mengurangi biaya dan memberikan akses instan 24/7.
FAHADRA, LINGGA
core   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?

Advanced Robotics Research, EarlyView.
Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley   +1 more source

Collaborative distributed prediction model based on decentralized federated learning for efficient energy resources utilization [PDF]

PeerJ Computer Science
Forecasting domestic energy needs is crucial to ensure a reliable and affordable energy supply, which is vital for maintaining economic stability and promoting growth.
Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, DoHyeun Kim   +4 more
doaj   +2 more sources

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

Ship Roll Prediction Algorithm Based on Bi-LSTM-TPA Combined Model

Journal of Marine Science and Engineering, 2021
When ships sail on the sea, the changes of ship motion attitude presents the characteristics of nonlinearity and high randomness. Aiming at the problem of low accuracy of ship roll angle prediction by traditional prediction algorithms and single neural ...
Yuchao Wang, Hui Wang, Dexin Zou, Huixuan Fu   +3 more
doaj   +1 more source

ChicGrasp: Imitation‐Learning‐Based Customized Dual‐Jaw Gripper Control for Manipulation of Delicate, Irregular Bio‐Products

Advanced Robotics Research, EarlyView.
Automated poultry processing lines still rely on humans to lift slippery, easily bruised carcasses onto a shackle conveyor. Deformability, anatomical variance, and hygiene rules make conventional suction and scripted motions unreliable. We present ChicGrasp, an end‐to‐end hardware‐software co‐designed imitation learning framework, to offer a ...
Amirreza Davar, Zhengtong Xu, Siavash Mahmoudi, Pouya Sohrabipour, Chaitanya Pallerla, Yu She, Wan Shou, Philip Glen Crandall, Dongyi Wang   +8 more
wiley   +1 more source