Results 151 to 160 of about 6,285,273 (279)

A Weighted Soft-Max PNLMS Algorithm for Sparse System Identification

International Journal of Information and Communication Technology Research, 2016
This paper presents a new Proportionate Normalized Least Mean Square (PNLMS) adaptive algorithm using a soft maximum operator for sparse system identification.
Mehdi Bekrani, Hadi Zayyani
doaj  

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Distributed State Estimation for Mobile Robots in LiDAR Sensor Networks With Intermittent Inertial Measurements

Advanced Intelligent Systems, EarlyView.
A scalable distributed observer framework for LiDAR sensor networks is presented for robust tracking and pose estimation of mobile robots. By combining adaptable 3D detection, clustering‐based communication reduction, and intermittent inertial fusion, accurate and efficient estimation is achieved under occlusions and sensing constraints, with formally ...
Isabella Luppi, Ehsan Hashemi
wiley   +1 more source

Prediction of viscosity of nickel ferrites/20W-50 engine oil-based nanofluids using ANN and RSM mathematical approaches. [PDF]

MethodsX
Hafeezullah MM, Khan JK, Shamim F, Khalid M, Kalhoro ZA, Shaikh AW.   +5 more
europepmc   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Comparative machine learning approach on Maxwell tetra hybrid nanofluid with porous and bioconvection over 3d rotating stretching sheet. [PDF]

Discov Nano
Soniya P, De P.
europepmc   +1 more source

Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation

Advanced Intelligent Systems, EarlyView.
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin, Adam J. Spiers, Yusuke Iwasawa, Yutaka Matsuo, Yaonan Zhu   +4 more
wiley   +1 more source

Development of an Artificial Intelligence-Based System for Predicting Fall Risk in Neurological Patients. [PDF]

Sovrem Tekhnologii Med
Ikonnikova ES, Slotina AE, Belyankin GA, Zabello MA, Vishnyakov VY, Lobanov AV, Bedeneu NV, Dobrovolsky AA, Zemlyanaya DO, Tropynina AY, Kirichenko OA, Baidukova AV, Suponeva NS.   +12 more
europepmc   +1 more source

ViTAMIn‐O: Democratizing Computer Vision‐Based Machine Learning for Stem Cell Research

Advanced Intelligent Systems, EarlyView.
This study introduces a fully open generalist computer vision model for predicting the differentiation outcomes of stem cell‐based model systems, together with its code‐free deployment platform, ColabViTAMIn‐O. It is benchmarked against various architectures, datasets, and training protocols.
Ferhat Hamurcu, Markus Breunig, Arpad Varga, Bianka Bosch, Jessica Lindenmayer, Anjan T. Kanakappady, Kevin Achberger, Natalia Pashkovskaia, Alexander Kleger, Stefan Liebau, Stefanie Klingenstein, Moritz Klingenstein   +11 more
wiley   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source