Suchergebnisse - (automatic OR automatically) programming general terms algorithms keywords development

An Analysis of the Movement Trajectories of the Endangered Acipenser gueldenstaedtii in Ammonia-Supplemented Environments Using Image Processing Methods.

Autoren: Balci, Beytullah Ahmet Tonguç, Güray Arslan, Muhammed Nurullah et al.

Quelle: Animals (2076-2615); Apr2025, Vol. 15 Issue 7, p900, 14p

Schlagwörter: WATER quality management, FISH farming, VISUAL programming languages (Computer science), OPTICAL flow, IMAGE processing

Interactive motion graphics development: User experience design themed on the 24 solar terms integrating biological rhythms.

Autoren: Xia, Yueman

Quelle: Molecular & Cellular Biomechanics; 2025, Vol. 22 Issue 3, p1-21, 21p

Schlagwörter: BIOLOGICAL rhythms, BIOMECHANICS, DIGITAL media, DEEP learning, BIONICS, CULTURAL identity, USER experience, CIRCADIAN rhythms

An Automatic Ear Temperature Monitoring Method for Group-Housed Pigs Adopting Infrared Thermography.

Autoren: Zhang, Changzhen Wu, Xiaoping Xiao, Deqin et al.

Quelle: Animals (2076-2615); Aug2025, Vol. 15 Issue 15, p2279, 17p

Schlagwörter: COMPUTER vision, THERMOGRAPHY, BODY temperature, PATIENT monitoring, AUTOMATIC tracking, ANIMAL welfare, FARM management, SWINE

A New Pes Planus Automatic Diagnosis Method: ViT-OELM Hybrid Modeling.

Autoren: Avcı, Derya

Quelle: Diagnostics (2075-4418); Apr2025, Vol. 15 Issue 7, p867, 19p

Schlagwörter: EXTREME learning machines, FLATFOOT, TRANSFORMER models, CONVOLUTIONAL neural networks, DEEP learning

Development of Open-Source Tools for Event-Based Hydrological Modelling Using GIS and Python.

Autoren: Almeida-Ñauñay, Andrés F. Sanz, Ernesto Berlanga, Antonio et al.

Quelle: Water (20734441); Jul2025, Vol. 17 Issue 14, p2160, 24p

Schlagwörter: HYDROLOGIC models, GEOGRAPHIC information systems, OPEN source software, WATERSHEDS, GEOSPATIAL data, PYTHON programming language, WATER management, DISCRETE event simulation

Geografische Kategorien: EBRO River (Spain)

Scientific Machine Learning of Flow Resistance Using Universal Shallow Water Equations With Differentiable Programming.

Autoren: Liu, Xiaofeng Song, Yalan

Quelle: Water Resources Research; Sep2025, Vol. 61 Issue 9, p1-20, 20p

Schlagwörter: SHALLOW-water equations, HYDRODYNAMICS, FLOW coefficient, FRICTIONAL resistance (Hydrodynamics), ARTIFICIAL neural networks, DATA assimilation, AUTOMATIC differentiation

Comparative evaluation of 3D visualization systems for automated assessment of cattle exterior traits: Insights from Kinect 2.0, OAK-D, and manual measurements.

Autoren: Bissembayev, Anuarbek Utepov, Arman Tleulenov, Zhumadiya et al.

Quelle: Journal of Animal Behavior & Biometeorology. Jul2025, Vol. 13 Issue 3, p1-13. 13p.

Schlagworte: Stereoscopic cameras, Dairy cattle, Three-dimensional imaging, Computer vision, Precision farming

Automatic Diagnosis, Classification, and Segmentation of Abdominal Aortic Aneurysm and Dissection from Computed Tomography Images.

Autoren: Baltaci, Hakan Yalcin, Sercan Yildirim, Muhammed et al.

Quelle: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2476, 23p

Schlagwörter: AORTIC dissection, COMPUTED tomography, CONVOLUTIONAL neural networks, CARDIOVASCULAR diseases, IMAGE segmentation, COMPUTER-aided diagnosis, DEEP learning

Automatic Text Classification With Large Language Models: A Review of openai for Zero- and Few-Shot Classification.

Autoren: Anglin, Kylie L. Ventura, Claudia

Quelle: Journal of Educational & Behavioral Statistics; Dec2025, Vol. 50 Issue 6, p1060-1082, 23p

Schlagwörter: LANGUAGE models, MACHINE learning, NATURAL language processing, CLASSIFICATION, EDUCATION research, AUTOMATIC classification

Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review.

Autoren: Akbarein, Hesameddin Taaghi, Mohammad Hussein Mohebbi, Mahyar et al.

Quelle: Veterinary Medicine & Science. May2025, Vol. 11 Issue 3, p1-29. 29p.

Schlagworte: Machine learning, Artificial intelligence, Veterinary medicine, Resource allocation, Medical research

A Hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM)–Attention Model Architecture for Precise Medical Image Analysis and Disease Diagnosis.

Autoren: Hayat, Md. Tanvir Allawi, Yazan M. Alamro, Wasan et al.

Quelle: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 21, p2673, 32p

Schlagwörter: CONVOLUTIONAL neural networks, LONG short-term memory, DIAGNOSIS, COMPUTER-assisted image analysis (Medicine), FEATURE selection, DEEP learning, CLASSIFICATION

Integrated Medical and Digital Approaches to Enhance Post-Bariatric Surgery Care: A Prototype-Based Evaluation of the NutriMonitCare System in a Controlled Setting.

Autoren: Marin, Ruxandra-Cristina Ianculescu, Marilena Costescu, Mihnea et al.

Quelle: Nutrients. Aug2025, Vol. 17 Issue 15, p2542. 45p.

PainSeeker: a head pose-invariant deep learning method for assessing rat's pain by facial expressions.

Autoren: Liu, Liu Li, Guang Deng, Dingfan et al.

Quelle: Frontiers in Veterinary Science. 2025, p1-13. 13p.

ReviewGenie: a novel automated system for systematic reviews—an exploratory study in speech and language disorders.

Autoren: Al-Marridi, Abeer Z. Bensaid, Ahmed Ulde, Samawiyah M. et al.

Quelle: Systematic Reviews; 8/18/2025, Vol. 14 Issue 1, p1-12, 12p

Schlagwörter: ARTIFICIAL intelligence, AUTOMATION, INFORMATION retrieval, ECONOMIC efficiency, DATA scrubbing, SPEECH disorders

A health index for surface water resources during drought: an automated fuzzy-based performance criteria approach.

Autoren: Dorafshan, Mohammad Mahdi Golmohammadi, Mohammad Hossein De Michele, Carlo

Quelle: Applied Water Science; Aug2025, Vol. 15 Issue 8, p1-24, 24p

Schlagwörter: DROUGHTS, FUZZY algorithms, DAMS, ENVIRONMENTAL health, AUTOMATIC control systems, ECOLOGICAL resilience, WATER supply

Geografische Kategorien: IRAN, ISFAHAN (Iran)

Automated Calibration of SWMM for Improved Stormwater Model Development and Application.

Autoren: Ahmadi, Hossein Scott, Durelle Sample, David J. et al.

Quelle: Hydrology (2306-5338); Jun2025, Vol. 12 Issue 6, p129-N.PAG, 26p

Schlagwörter: MULTI-objective optimization, STANDARD deviations, URBAN watersheds, OPTIMIZATION algorithms, URBAN runoff

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

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

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

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

Geografische Kategorien: UNITED Kingdom

Automatic viewpoint selection for polygonal objects through projected mesh analysis.

Autoren: López Hernández, Fernando Carlos Sánchez Monzón, Jenaro Rainer Granados, Javier

Quelle: Journal of Visualization; Dec2025, Vol. 28 Issue 6, p1143-1167, 25p

Natural language processing in veterinary pathology: A review.

Autoren: Stimmer, Lev Kuiper, Raoul V. Polledo, Laura et al.

Quelle: Veterinary Pathology. Nov2025, Vol. 62 Issue 6, p829-848. 20p.

Anna: an open-source platform for real-time integration of machine learning classifiers with veterinary electronic health records.

Autoren: Kong, Chun Yin Vasquez, Picasso Farhoodimoghadam, Makan et al.

Quelle: BMC Veterinary Research. 10/2/2025, Vol. 21 Issue 1, p1-12. 12p.

Schlagworte: Machine learning, Electronic health records, Open source software, Patient care, Veterinary medicine, Diagnosis, Classification algorithms, Synchronization