Precision improvement for indoor positioning based on fuzzy inference system with ultra-wideband wireless communications. [PDF]
PLoS OneLee SH, Chang SW, Huang YF, Sheu YH.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
ML-FSID-FIS: A Multi-Level Feature Selection and Fuzzy Inference System for Intrusion Detection in IoMT. [PDF]
Sensors (Basel)Balhareth G, Ilyas M, Alkanjr B.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
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A novel nowcasting (estimation) model based on an adaptive network neutrosophic hesitant fuzzy inference system (ANNHFIS): a case study of Istanbul. [PDF]
Sci RepTurgut A, Seker S.
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Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
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Predicting the finished fabric width and areal density (Grams per Square Meter) of commercially produced plain Single Jersey (100% Cotton) Knitted Fabric using Fuzzy Inference System (FIS). [PDF]
PLoS OneYasin M +4 more
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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 +3 more
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A hybrid dense convolutional network and fuzzy inference system for pneumonia diagnosis with dynamic symptom tracking. [PDF]
PLoS OneBaral S, Bista R, Sigdel S, Ferreira JC.
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Vision‐Based Tactile Finger Integrating Fingerpad and Nail Sensing for Robotic Manipulation
Advanced Intelligent Systems, EarlyView.This vision‐based tactile finger captures nail force and fingerpad force, contact position, and in‐plane orientation with one internal camera. An external camera recognizes the target and presets finger inclination from object height. The compact dual‐sensing design supports tactile‐guided table contact and reliable grasping of objects ranging from ...
Hao Zhou, Kazuhiro Shimonomura
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