Search Results - (automatic OR automatizaceky) programming general terms algorithms keywords developmental~

Automated Assessment of Word- and Sentence-Level Speech Intelligibility in Developmental Motor Speech Disorders: A Cross-Linguistic Investigation.

Authors: Carl, Micalle Icht, Michal

Source: Diagnostics (2075-4418); Aug2025, Vol. 15 Issue 15, p1892, 15p

Subject Terms: INTELLIGIBILITY of speech, AUTOMATIC speech recognition, ARTIFICIAL intelligence, MULTILINGUAL education, DOWN syndrome, HEBREW language, SPEECH disorders

Toward Precision Diagnosis of Maxillofacial Pathologies by Artificial Intelligence Algorithms: A Systematic Review.

Authors: Rahmanzadeh, Meysam Rustamzadeh, Auob Gorgich, Enam Alhagh et al.

Source: Journal of Maxillofacial & Oral Surgery; Aug2025, Vol. 24 Issue 4, p1151-1178, 28p

Evolution, Development and Learning Using Self-Modifying Cartesian Genetic Programming

Authors: Simon Harding Julian F. Miller Wolfgang Banzhaf et al.

Contributors: Simon Harding Julian F. Miller Wolfgang Banzhaf et al.

Source: http://www.cartesiangp.co.uk/papers/gecco2009-harding.pdf.

Subject Terms: I.2 [Artificial Intelligence, Learning, I.2 [Artificial In- telligence, Automatic Programming General Terms Algorithms Keywords Developmental

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.569.5018

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.569.5018
http://www.cartesiangp.co.uk/papers/gecco2009-harding.pdf

AnimalAI: An Open-Source Web Platform for Automated Animal Activity Index Calculation Using Interactive Deep Learning Segmentation.

Authors: Saeidifar, Mahtab Li, Guoming Ramaswamy, Lakshmish Macheeri et al.

Source: Animals (2076-2615); Aug2025, Vol. 15 Issue 15, p2269, 21p

Subject Terms: AUTOMATIC tracking, OPEN source software, ANIMAL welfare, MOTION analysis, IMAGE segmentation, ANIMAL mechanics

Generational Leaps in Intrapartum Fetal Surveillance.

Authors: Devoe, Lawrence D.

Source: Diagnostics (2075-4418); Oct2025, Vol. 15 Issue 19, p2482, 19p

Subject Terms: FETAL monitoring, FETAL heart rate, INFANT health, AUTOMATIC control systems, ARTIFICIAL intelligence

Artificial intelligence as a tool for addressing racial and socioeconomic inequalities in cardiac arrest: a systematic review.

Authors: Burdett, Darcey Furey, Pippa

Source: Critical Care Innovations; Dec2025, Vol. 8 Issue 1, p16-32, 17p

Subject Terms: CINAHL database, MACHINE learning, ARTIFICIAL intelligence, RACE, CARDIAC arrest

Dynamical Blueprints: Exploiting Levels of System-Environment Interaction

Authors: Nicolás S. Estévez Hod Lipson The Pennsylvania State University CiteSeerX Archives

Contributors: Nicolás S. Estévez Hod Lipson The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p238.pdf.

Subject Terms: I.2.2 [Artificial Intelligence, Automatic Programming General Terms Algorithms, Design Keywords System-Environment Interaction, Developmental Systems, System Representation

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.169; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p238.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.148.169
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2007/docs/p238.pdf

Transforming Community Engagement with Generative AI: Harnessing Machine Learning and Neural Networks for Hunger Alleviation and Global Food Security.

Authors: Kannan, Sathya

Source: Cuestiones de Fisioterapia; 2025, Vol. 54 Issue 4, p953-963, 11p

Subject Terms: GENERATIVE artificial intelligence, WORLD hunger, DEVELOPING countries, MACHINE learning, BIODIVERSITY

Company/Entity: UNITED Nations

Reviews & Products: SUSTAINABLE Development Goals (United Nations)

Dynamical Blueprints: Exploiting Levels of System-Environment Interaction

Authors: Nicolás S. Estévez The Pennsylvania State University CiteSeerX Archives

Contributors: Nicolás S. Estévez The Pennsylvania State University CiteSeerX Archives

Source: http://www.mae.cornell.edu/ccsl/papers/gecco07_estevez.pdf.

Subject Terms: I.2.2 [Artificial Intelligence, Automatic Programming General Terms Algorithms, Design Keywords System-Environment Interaction, Developmental Systems, System Representation

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.2238; http://www.mae.cornell.edu/ccsl/papers/gecco07_estevez.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.130.2238
http://www.mae.cornell.edu/ccsl/papers/gecco07_estevez.pdf

ViSTooth: a visualization framework for tooth segmentation on panoramic radiograph.

Authors: Zhu, Shenji Hu, Miaoxin Pan, Tianya et al.

Source: Journal of Visualization; Oct2025, Vol. 28 Issue 5, p1047-1062, 16p

Early Detection of Autism Spectrum Disorder Through Automated Machine Learning.

Authors: Ehsan, Khafsa Sultan, Kashif Fatima, Abreen et al.

Source: Diagnostics (2075-4418); Aug2025, Vol. 15 Issue 15, p1859, 19p

Subject Terms: AUTISM spectrum disorders, MACHINE learning, DIAGNOSTIC examinations, EARLY diagnosis, CHILD development, NEURAL development

Geographic Terms: PAKISTAN

Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability.

Authors: Hao, Xuechao Wang, Yaqiang Li, Ke et al.

Source: Anesthesiology & Perioperative Science; Dec2025, Vol. 3 Issue 4, p1-17, 17p

Artificial intelligence in total knee arthroplasty: clinical applications and implications.

Authors: Kim, Kyeong Baek Kim, Gi Beom Kim, Jun-Ho et al.

Source: Knee Surgery & Related Research; 10/14/2025, Vol. 37 Issue 1, p1-10, 10p

Super-resolution microscopy and deep learning methods: what can they bring to neuroscience: from neuron to 3D spine segmentation.

Authors: Nazac, Paul Xu, Shengyan Breton, Victor et al.

Source: Frontiers in Neuroinformatics; 2025, p1-11, 11p

Subject Terms: NEURON analysis, DEEP learning, FLUORESCENT probes, HIGH resolution imaging, DENDRITIC spines, NEURODEGENERATION, NEUROSCIENCES, SEGMENTATION (Biology)

Artificial intelligence in pediatric healthcare: current applications, potential, and implementation considerations.

Authors: Taejin Park In-Hee Lee Seung Wook Lee et al.

Source: Clinical & Experimental Pediatrics; Sep2025, Vol. 68 Issue 9, p641-651, 11p

Subject Terms: ARTIFICIAL intelligence, DIAGNOSTIC services, INDIVIDUALIZED medicine, PEDIATRIC therapy, MEDICAL equipment, PROGNOSTIC models, ETHICAL problems

INTEGRATION OF ARTIFICIAL INTELLIGENCE WITHIN SUSTAINABLE EDUCATION IN HIGHER INSTITUTIONS: A DUAL CONTEXT.

Authors: RAM, NIVEDITA

Source: TPM: Testing, Psychometrics, Methodology in Applied Psychology; 2025 Supplement, Vol. 32, p240-247, 8p

Enhancing Diagnostic Accuracy of Neurological Disorders Through Feature-Driven Multi-Class Classification with Machine Learning.

Authors: Altıntop, Çiğdem Gülüzar

Source: Diagnostics (2075-4418); Sep2025, Vol. 15 Issue 17, p2132, 27p

Subject Terms: NEUROLOGICAL disorders, MACHINE learning, NEUROPHYSIOLOGY, CLASSIFICATION, FISHER discriminant analysis, FEATURE selection, FEATURE extraction

The toll of prejudice: The longitudinal interplay between ethnic prejudice and well-being in adolescence.

Authors: Bobba, Beatrice Crocetti, Elisabetta

Source: European Journal of Personality; Jul2025, Vol. 39 Issue 4, p614-634, 21p

Subject Terms: WELL-being, ADOLESCENCE, CLINICAL health psychology, PSYCHOTHERAPY, MINORITY youth, RACISM, MINORITIES

AraEyebility: Eye-Tracking Data for Arabic Text Readability.

Authors: Baazeem, Ibtehal Al-Khalifa, Hend Al-Salman, Abdulmalik

Source: Computation; May2025, Vol. 13 Issue 5, p108, 42p

Subject Terms: NATURAL language processing, DEEP learning, PROGRAMMING languages, EYE movements, MACHINE learning, GAZE, EYE tracking

Harnessing Artificial Intelligence in Obesity Research and Management: A Comprehensive Review.

Authors: Azmi, Sarfuddin Kunnathodi, Faisal Alotaibi, Haifa F. et al.

Source: Diagnostics (2075-4418); Feb2025, Vol. 15 Issue 3, p396, 25p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, DEEP learning, INDIVIDUALIZED medicine, PREDICTION models