Search Results - ML: Deep Neural Network Algorithms

Machine learning and deep neural networks approach to modelling musical gestures

Authors: Cabrera Dalmazzo, David

Contributors: University/Department: Universitat Pompeu Fabra. Departament de Tecnologies de la Informació i les Comunicacions

Thesis Advisors: Ramírez, Rafael

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Music education, Machine learning, Deep neural networks, Gesture detection, Bow-strokes, Data visualisation, Educació musical, Detecció de gestos, Cops d’arc, Visualització de dades, Educación musical, Detección de gestos, Movimientos de arco, Visualización de datos

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/670399

Application of Artificial Intelligence Technologies in Livestock Management.

Alternate Title: Hayvancılıkta Yapay Zekâ Teknolojilerinin Uygulanması.

Authors: DİLAVER, Hatice DİLAVER, Kamil Fatih

Source: Journal of Animal Science & Economics. Jul2025, Vol. 4 Issue 2, p64-74. 11p.

Subjects: Natural language processing, Artificial neural networks, Supervised learning, Artificial intelligence, Agriculture

Sequential Convolutional Neural Network Techniques to Improve Detection of Lesions in Dogs.

Authors: Ok Hue Cho¹ profcho@smu.ac.kr

Source: Indian Journal of Animal Research. Jun2025, Vol. 59 Issue 6, p926-933. 8p.

Subjects: Convolutional neural networks, Animal welfare, Detector dogs, Machine learning, Digital images

Hybrid Wireless Processing Chains that Include Deep Neural Networks and Static Algorithm Modules

Hardware Implementation of Machine Learning and Deep-Learning Systems oriented to Image Processing

Authors: Franco Frasser, Christiam Camilo

Thesis Advisors: Rosselló Sanz, José Luis, Roca Adrover, Miquel Jesús

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Digital Systerns, FPGA, Machine Learníng, Pattern Recognition, Artificial Neural Networks, Stochastic Computing, ConvolutionaI NeuralNetworks, Edge Computing, lmplementació eficient de Machíne Learning en hardware

Time: 621.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/674682

Deep Neural Network Stratification for Use Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)

Source: Deep Neural Network Stratification for the Use in Detecting Endometriosis in Women Affected by Chronic Pelvic Pain (EndoCheck)
Wykes CB, Clark TJ, Khan KS. Accuracy of laparoscopy in the diagnosis of endometriosis: a systematic quantitative review. BJOG. 2004 Nov;111(11):1204-12. doi: 10.1111/j.1471-0528.2004.00433.x. No abstract available.
Gupta D, Hull ML, Fraser I, Miller L, Bossuyt PM, Johnson N, Nisenblat V. Endometrial biomarkers for the non-invasive diagnosis of endometriosis. Cochrane Database Syst Rev. 2016 Apr 20;4(4):CD012165. doi: 10.1002/14651858.CD012165.
Revised American Society for Reproductive Medicine classification of endometriosis: 1996. Fertil Steril. 1997 May;67(5):817-21. doi: 10.1016/s0015-0282(97)81391-x. No abstract available.

Augmenting interpretation of vaginoscopy observations in cycling bitches with deep learning model.

Authors: K. Rajan, Bindhu G., Venugopal Harshan M., Hiron et al.

Source: BMC Veterinary Research. 9/9/2024, Vol. 20 Issue 1, p1-13. 13p.

Subjects: Convolutional neural networks, Deep learning, Support vector machines, Anestrus, K-nearest neighbor classification, Estrus

A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths.

Authors: Alsaidi, May Obeid, Nadim Al-Madi, Nailah et al.

Source: Information. Mar2024, Vol. 15 Issue 3, p133. 23p.

Subject Terms: *Artificial neural networks, *Machine learning, Convolutional neural networks, Autism spectrum disorders, Eye tracking, Deep learning, K-nearest neighbor classification

Lumpy Skin Disease Detection in Cattle by a Robust Approach using Advanced Convolutional Neural Networks.

Authors: AlZubi, Ahmad Ali¹ aalzubi@ksu.edu.sa

Source: Indian Journal of Animal Research. Dec2024, Vol. 58 Issue 12, p2146-2153. 8p.

Subjects: Lumpy skin disease, Convolutional neural networks, Health of cattle, Agriculture, Artificial intelligence

Post-Operative Outcome Predictions in Vestibular Schwannoma Using Machine Learning Algorithms

Authors: Dichter, Abigail Bhatt, Khushi Liu, Mohan et al.

Source: Journal of Personalized Medicine. 14(12)

Subject Terms: Biomedical and Clinical Sciences, Clinical Sciences, Networking and Information Technology R&D (NITRD), Patient Safety, Bioengineering, Machine Learning and Artificial Intelligence, artificial neural network, complication, machine learning, reoperation, vestibular schwannoma, Medical biochemistry and metabolomics, Medical biotechnology, Pharmacology and pharmaceutical sciences

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/6823d98w
https://escholarship.org/content/qt6823d98w/qt6823d98w.pdf

Machine learning testing in an ADAS case study using simulation-integrated bio-inspired search-based testing

Authors: Helali Moghadam, Mahshid Borg, Markus Saadatmand, Mehrdad et al.

Source: Journal of Software. (5)

Subject Terms: advanced driver assistance systems, deep learning, evolutionary computation, lane-keeping system, machine learning testing, search-based testing, Automobile drivers, Biomimetics, Budget control, Deep neural networks, Embedded systems, Genetic algorithms, Learning systems, Particle swarm optimization (PSO), Software testing, Case-studies, Lane keeping, Machine-learning, Software Evolution, Software process, Test scenario

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-65687
https://doi.org/10.1002/smr.2591

ML-Assisted Optimal Power and GSNR Estimation in Multi-band Elastic Optical Networks

Authors: Ghodsifar, K. Arpanaei, Farhad Beyranvand, H. et al.

Source: 24th International Conference on Transparent Optical Networks, ICTON 2024, Bari, Italy International Conference on Transparent Optical Networks.

Subject Terms: Multi-band, Elastic Optical Networks, Power Optimization, Deep Neural Network

File Description: electronic

Access URL: https://research.chalmers.se/publication/542942
https://research.chalmers.se/publication/542942/file/542942_Fulltext.pdf

Lifelong AI-driven zero-touch network slicing

Authors: Rezazadeh, Farhad

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Verikoukis, Christos, Alonso Zárate, Luis Gonzaga

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació

Time: 621.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/690333
https://dx.doi.org/10.5821/dissertation-2117-404782

Enabling knowledge-defined networks : deep reinforcement learning, graph neural networks and network analytics

Authors: Suárez-Varela Macià, José Rafael

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Barlet Ros, Pere, Cabellos Aparicio, Alberto

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669212
https://dx.doi.org/10.5821/dissertation-2117-192449

Detection of Disease in Calves using Artificial Intelligence.

Authors: AlZubi, Ahmad Ali¹ aalzubi@ksu.edu.sa

Source: Indian Journal of Animal Research. Dec2024, Vol. 58 Issue 12, p2138-2145. 8p.

Subjects: Lumpy skin disease, Convolutional neural networks, Agriculture, Machine learning, Animal welfare

Software defined networking for autonomous and secure optical networks

Authors: Hernández Chulde, Carlos Efrén

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions

Thesis Advisors: Casellas Regí, Ramon, Martínez Rivera, Ricardo Víctor, Comellas Colomé, Jaume

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Routing and Spectrum Assignment, Elastic Optical Networks, Deep Reinforcement Learning, Software Defined Networking, Network Functions Virtualization, Virtual Network Functions, VNF placement, Quantum Key Distribution, Continuous Variable Quantum Key Distribution, Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, 621.3 - Enginyeria elèctrica. Electrotècnia. Telecomunicacions

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/694378
https://dx.doi.org/10.5821/dissertation-2117-428870

Automated brain extraction for canine magnetic resonance images.

Authors: Lesta, Gloria D. Deserno, Thomas M. Abani, Samira et al.

Source: BMC Veterinary Research. 9/16/2025, Vol. 21 Issue 1, p1-13. 13p.

Subjects: Magnetic resonance imaging, Artificial neural networks, Image processing, Computer-assisted image analysis (Medicine), Skull morphology

Contribution to the enhancement of IoT-based application development and optimization of underwater communications, by artificial intelligence, edge computing, and 5G networks and beyond, in smart cities/seas

Authors: Cepeda Pacheco, Juan Carlos

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Enginyeria Telemàtica

Thesis Advisors: Domingo Aladrén, Mari Carmen

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Àrees temàtiques de la UPC::Enginyeria de la telecomunicació, Àrees temàtiques de la UPC::Informàtica

Time: 621.3

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/693321
https://dx.doi.org/10.5821/dissertation-2117-422056

Machine and Deep Learning Modelling Strategies for Body Weight Prediction of Cattle and Swine.

Authors: Tulpan, Dan¹

Source: Journal of Animal Science. 2023 Supplement, Vol. 101, p141-141. 1/2p.

Subjects: Machine learning, Cattle weight, Artificial neural networks, Body weight, Swine, Deep learning, Image segmentation

Artificial Intelligence for Enhancing Veterinary Healthcare: An Experiment.

Authors: Alkhanifer, Abdulrhman AlZubi, Ahmad

Source: Indian Journal of Animal Research. May2025, Vol. 59 Issue 5, p761-768. 8p.

Subjects: Convolutional neural networks, Lumpy skin disease, Animal health, Animal classification, Animal diseases