Výsledky vyhledávání - optimized negative section algorithm

Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics

Autoři: Balkenhol, Maschenka C. A. Ciompi, Francesco Swiderska-Chadaj, Zaneta a další

Zdroj: The Breast. 56:78-87

Témata: Triple negative breast cancer, Tumour infiltrating lymphocytes, Artificial intelligence, Multispectral imaging, Prognosis

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-174862
https://liu.diva-portal.org/smash/get/diva2:1542594/FULLTEXT01.pdf

Congestion Avoidance in TCP Based on Optimized Random Forest with Improved Random Early Detection Algorithm.

Autoři: Kumar, Ajay Hemrajani, Naveen

Zdroj: International Journal of Image & Graphics; Nov2025, Vol. 25 Issue 6, p1-32, 32p

Dynamic Stall Alleviation of a Helicopter Blade Section in Forward Flight Condition Using an Optimized Combination of Active Nose Droop and Active Gurney Flap.

Autoři: Kargarian, Abbas Karimian, S. M. Hossein

Zdroj: Journal of Aerospace Engineering. Sep2024, Vol. 37 Issue 5, p1-18. 18p.

Témata: *ROTORS (Helicopters), *HELICOPTERS, *ARTIFICIAL neural networks, *FLAPS (Airplanes), *MACH number, *NOSE, *DRAG coefficient, *FLIGHT, *FLOW separation

A Novel Optimized Hybrid Deep Learning Framework for Mental Stress Detection Using Electroencephalography.

Autoři: Andhare, Maithili Shailesh Vijayan, T. Karthik, B. a další

Zdroj: Brain Sciences (2076-3425); Aug2025, Vol. 15 Issue 8, p835, 27p

Témata: PSYCHOLOGICAL stress, DEEP learning, RESEARCH evaluation, ELECTROENCEPHALOGRAPHY, OPTIMIZATION algorithms, FEATURE selection

Shape optimization of a dragonfly-inspired corrugated airfoil in ultralow Reynolds flow regimes via a genetic algorithm.

Autoři: Forouzesh, Mohammad Ali Nili-Ahmadabadi, Mahdi Drafsh, Zakaria a další

Zdroj: Journal of Mechanical Science & Technology. Nov2025, Vol. 39 Issue 11, p6465-6478. 14p.

Témata: *AERODYNAMICS, *AEROFOILS, *FLUID dynamics, *STRUCTURAL optimization, *DRAG coefficient, *BIOMIMETICS, *GENETIC algorithms

Reviews & Products: MATLAB (Computer software)

Aquaculture Water Quality Classification Using XGBoost Classifier Model Optimized by the Honey Badger Algorithm with SHAP and DiCE-Based Explanations.

Autoři: Naim, S M Das, Prosenjit Tiang, Jun-Jiat a další

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 20, p2993, 18p

Témata: WATER quality, MACHINE learning, METAHEURISTIC algorithms, AQUACULTURE, CLASSIFICATION, PREDICTION models

Enhancing the Accuracy of Intrusion Detection Systems by Reducing the Rates of False Negatives Through Using XG-boost and Optimization Algorithm

Autoři: Noor Saud Abd Kamel Karoui Mohammed Ghassan Abdulkareem

Zdroj: Security and Safety.

Optimized Calculation of Radial and Axial Magnetic Forces between Two Non-Coaxial Coils of Rectangular Cross-Section with Parallel Axes.

Autoři: Babic, Slobodan Guven, Eray Song, Kai-Hong a další

Zdroj: Computation; Sep2024, Vol. 12 Issue 9, p180, 20p

Témata: MAGNETISM, MUTUAL inductance, SOLENOIDS, FIBERS, ALGORITHMS

Slope Stability Prediction Utilizing a Random Forest Model Optimized by Particle Swarm Optimization.

Autoři: Kong, Tao Shao, Guangyu Shao, Guangbiao a další

Zdroj: Geofluids; 10/9/2025, Vol. 2025, p1-16, 16p

Témata: SLOPE stability, RANDOM forest algorithms, NONLINEAR estimation, PARTICLE swarm optimization, ENGINEERING firms, EMERGENCY management, FORECASTING, MACHINE learning

Breast Cancer Classification with Various Optimized Deep Learning Methods.

Autoři: Güler, Mustafa Sart, Gamze Algorabi, Ömer a další

Zdroj: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 14, p1751, 22p

Témata: BREAST cancer, DEEP learning, IMAGE processing, TUMOR classification, CLASSIFICATION, DIAGNOSTIC specimens, ARTIFICIAL intelligence

TFOPT-WEQN: OPTIMIZED WEIGHTED EUCLIDEAN LOSS-ENABLED QUANTUM CONVOLUTIONAL NEURAL NETWORK FOR BRAIN TUMOR DETECTION AND CLASSIFICATION.

Autoři: Bindukala, A. Babu, B. Kiran Manikyamma, K. a další

Zdroj: Biomedical Engineering: Applications, Basis & Communications; Aug2025, Vol. 37 Issue 4, p1-24, 24p

Témata: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, ARTIFICIAL intelligence, DEEP learning, BENIGN tumors, OPTIMIZATION algorithms, ELECTRIC charge, EUCLIDEAN distance

FUZZY SEA HORSE OPTIMIZATION ALGORITHM (FSHOA) AND QUINE MCCLUSKEY ENSEMBLE CLASSIFIER (QMEC) FOR HEART DISEASE PREDICTION.

Autoři: Manimozhi, V. Chitra, K.

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p5310-5338, 29p

Témata: SEA horses, OPTIMIZATION algorithms, FEATURE selection, SUPPORT vector machines, MACHINE learning

Improving the Generalization Performance of Debris-Flow Susceptibility Modeling by a Stacking Ensemble Learning-Based Negative Sample Strategy.

Autoři: Li, Jiayi Zhang, Jialan Yu, Jingyuan a další

Zdroj: Water (20734441); Aug2025, Vol. 17 Issue 16, p2460, 26p

Témata: RANDOM forest algorithms, ENSEMBLE learning, DEBRIS avalanches, LAND use planning, RISK assessment, HAZARD mitigation

Geografický termín: WENCHUAN Xian (Sichuan Sheng, China), SICHUAN Sheng (China)

Urban flood hazard assessment using FLA-optimized boost algorithms in Ankara, Türkiye.

Autoři: Gul, Enes

Zdroj: Applied Water Science; Apr2025, Vol. 15 Issue 4, p1-21, 21p

Témata: FLOOD risk, BOOSTING algorithms, CITIES & towns, ENVIRONMENTAL disasters, MACHINE learning, OPTIMIZATION algorithms

Geografický termín: ANKARA (Turkey)

A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress.

Autoři: James, Gabriel Inyang, Saviour Ekong, Anietie a další

Zdroj: Journal of Nigerian Society of Physical Sciences; Aug2025, Vol. 7 Issue 3, p1-13, 13p

Témata: RANDOM forest algorithms, DIGITAL technology, MEMBERSHIP functions (Fuzzy logic), LINGUISTIC models, FEATURE extraction, FUZZY sets

Predicting the Recurrence of Differentiated Thyroid Cancer Using Whale Optimization-Based XGBoost Algorithm.

Autoři: Shrestha, Keshika Rifat, H. M. Jabed Omur Biswas, Uzzal a další

Zdroj: Diagnostics (2075-4418); Jul2025, Vol. 15 Issue 13, p1684, 19p

Témata: METAHEURISTIC algorithms, PATIENT experience, THYROID cancer, FEATURE selection, LINEAR operators

Addressing Data Imbalance in Hydrological Machine Learning: Impact of Advanced Sampling Methods on Performance and Interpretability.

Autoři: Yin, Xiaoran Shu, Longcang Wang, Zhe a další

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-37, 37p

Témata: SAMPLING methods, RANDOM forest algorithms, BOOSTING algorithms, SAMPLING (Process), DATA quality, HYDROLOGICAL databases

A Hybrid Feature Optimized Framework for Enhanced COVID-19 Detection with IoT Sensor Data.

Autoři: Kumar Patra, P. Santosh Tripathy, Biswajit

Zdroj: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 2, p2695-2703, 9p

Témata: CONVOLUTIONAL neural networks, OPTIMIZATION algorithms, ARTIFICIAL intelligence, FEATURE selection, RANDOM forest algorithms

Machine Learning for Predicting Spatially Variable Lateral Hydraulic Conductivity: A Step Toward Efficient Hydrological Model Calibration and Global Applicability.

Autoři: Ali, Awad M. Imhoff, Ruben O. Weerts, Albrecht H.

Zdroj: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-23, 23p

Témata: HYDRAULIC conductivity, HYDROLOGIC models, MACHINE learning, CALIBRATION, SOILS, REGRESSION trees, RANDOM forest algorithms

Geografický termín: UNITED Kingdom

Optimized and interpretable machine learning framework for early breast cancer detection.

Autoři: Ansari, Zulfikar Ali Ansari, Md Shamsul Haque Khan, Ahmed a další

Zdroj: Health & Technology; Nov2025, Vol. 15 Issue 6, p1135-1147, 13p