Results 231 to 240 of about 220,793 (302)

Solving Data Overlapping Problem Using A Class‐Separable Extreme Learning Machine Auto‐Encoder

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The overlapping and imbalanced data in classification present key challenges. Class‐separable extreme learning machine auto‐encoding (CS‐ELM‐AE) is proposed, which is an enhancement of ELM‐AE that better handles overlapping data by clustering points from the same class together. Applying oversampling addresses imbalanced data.
Ekkarat Boonchieng, Wanchaloem Nadda
wiley   +1 more source

Altered Sigmoid Mucosal Innervation and Mast Cell Proximity to Sensory Nerve Fibers Are Associated With Symptom Severity in Patients With Irritable Bowel Syndrome. [PDF]

Neurogastroenterol Motil
Yuan PQ, Nash M, Li T, Mahurkar-Joshi S, Sohn J, Khandadash A, Taché Y, Chang L.   +7 more
europepmc   +1 more source

Robot‐Assisted Measurement of the Critical Micelle Concentration

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The study introduces (SIMO) smart integrator for manual operations, a robotic platform for precise, repeatable determination of (CMC) critical micelle concentration in surfactants. SIMO reduces standard deviation by 80% compared to manual methods. Surfactant, dye, and diluent selection, robotic protocols, and data handling are detailed.
Vincenzo Scamarcio, Gadi Slor, Josie Hughes, Francesco Stellacci   +3 more
wiley   +1 more source

Modeling Alzheimer's Disease Biomarkers' Trajectory in the Absence of a Gold Standard Using a Bayesian Approach. [PDF]

Stat Med
Jin W, Xu Y, Wang Z.
europepmc   +1 more source

Better approximation of sigmoid function for privacy-preserving neural networks

Ying Zhao, Xuelei Li
openalex   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Failure of γδ T Cell Recovery in the Gut With Effective Anti-HIV Therapy. [PDF]

J Immunol Res
Barros PO, Burke Schinkel SC, Nayak AL, Haas B, Berthoud TK, McGuinty M, Cameron DW, Angel JB.   +7 more
europepmc   +1 more source

An Area-Efficient and Low-Error FPGA-Based Sigmoid Function Approximation

Vinicius de Azevedo Bosso, Ricardo Masson Nardini, Miguel Angelo de Abreu de Sousa, Sara Dereste dos Santos, Ricardo Pires   +4 more
openalex   +2 more sources

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

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
wiley   +1 more source

Robotic-Assisted Resection of a Giant Sigmoid Colonic Lipoma: A Case Report. [PDF]

Cureus
Kanaya Y, Masui H, Kimura Y, Mizumoto M, Takeyama O.   +4 more
europepmc   +1 more source