Results 141 to 150 of about 306,382 (266)

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

Endoscopic management of gallstone large bowel obstruction at a sigmoid diverticular stricture secondary to cholecystoduodenal fistula. [PDF]

J Surg Case Rep
Feng LR, Peter LG, Barrett CD, Matos MA, Henry R.   +4 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

Case Report of Urachal Remnant Causing Extensive Fistulization between the Sigmoid Colon and Bilateral Adnexae with Cyst-Cutaneous Fistula

Journal of Coloproctology
Yaeji Park, Carla Harmath, Gladell P. Paner, Hillary McLaren, Obianuju Sandra Madueke-Laveaux, Sarah Faris, Kinga S. Olortegui   +6 more
doaj   +1 more source

Management of Pregnancy and Delivery After Augmentation Cystoplasty: A Novel Surgical Technique Using the Sigmoid Colon With Retroperitoneal Mesentery Placement Optimized for Cesarean Section. [PDF]

Int J Urol
Sato A, Asanuma H, Izawa M, Iwasa S, Hyuga T, Satoh H, Moriya K, Nakai H, Oya M.   +8 more
europepmc   +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

Improvement of Steroid-Dependent Encephalopathy Clinically Diagnosed as Paraneoplastic Neurological Syndrome in Onconeural Antibody-Negative Sigmoid Colon Cancer after Laparoscopic Tumor Resection. [PDF]

Surg Case Rep
Inamoto S, Tsukasaki S, Okada T, Nomura A, Sakai Y.   +4 more
europepmc   +1 more source

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

Sigmoid diverticulitis mimicking colorectal cancer: A case report. [PDF]

Radiol Case Rep
Nkenguye W, Amsi P, Lodhia J.
europepmc   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source