Results 151 to 160 of about 45,729 (287)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

A harmony search algorithm for clustering with feature selection

Revista Facultad de Ingeniería Universidad de Antioquia, 2010
En este artículo se presenta un nuevo algoritmo de clustering denominado IHSK, con la capacidad de seleccionar características en un orden de complejidad lineal. El algoritmo es inspirado en la combinación de los algoritmos de búsqueda armónica y K-means.
Carlos Cobos, Elizabeth León, Martha Mendoza   +2 more
doaj  

Mutation-Based Harmony Search Algorithm for Hybrid Testing of Web Service Composition. [PDF]

Comput Intell Neurosci, 2018
Maythaisong E, Songpan W.
europepmc   +1 more source

Diffusion MRI and α‐Synuclein Seed Amplification Status in Parkinson's Disease

Annals of Neurology, EarlyView.
Objective Positive α‐synuclein seed amplification assay (SAA) is a biomarker found in most people with Parkinson's disease (PD). We explored if free‐water (FW) imaging detects microstructural differences in the brains of patients with early PD with SAA+ or SAA– status.
Shannon Y. Chiu, Wei‐en Wang, Robin Chen, Jesse C. DeSimone, Derek B. Archer, Charles H. Adler, Shyamal H. Mehta, Sara R. Dresler, Melissa J. Armstrong, Nikolaus McFarland, Michael Okun, David E. Vaillancourt, Parkinson's Progression Markers Initiative, Neha Prakash, Tanya Simuni, Nabila Dahodwala, Caroline Tanner, Lana Chahine, Brit Mollenhauer, Anat Mirelman, Roy Alcalay; Katherine Leaver, Marie Saint‐Hilaire, Ruth Schneider, Christopher Tarolli, Werner Poewe, Aleksandar Videnovic, David Standaert, Marissa Dean, Sonja Jonsdottir, Rejko Krueger, Claire Pauly, Stewart Factor, Penelope Hogarth, Robert Hauser, Amy Amara, Michelle Fullard, Cyrus Zabetian, Hubert Fernandez, Kathrin Brockmann, Isabel Wurster, Yen Tai, Paolo Barone, Marina Picillo, Stuart Isaacson, Alberto Espay, Eduardo Tolosa, Javier Ruiz Martinez, Leonidas Stefanis, Kelvin Chou, Lorraine Kalia, Connie Marras, David Grimes, Tiago Mestre, Rajesh Pahwa, Mark Lew, Holly Shill, Shyamal Mehta, Giulietta Riboldi, Nikolaus McFarland, Ron Postuma, Zoltan Mari, David Ledingham, Nicola Pavese, Michele Hu, Norbert Brueggemann, Christine Klein, Bastiaan Bloem, Cristina Simonet, Alastair Noyce, Anette Janzen, David Pedrosa, Wolfgang Oertel, Njideka Okubadejo, David Shprecher, Arjun Tarakad, Emile Moukheiber, Joy Antala, Carla Aranda, Karen Williams, Sophia Melton, Karina Benson, Ashwini Ramachandran, Danielle Potts, Grace LaMoure, Ritikha Vengadesh, Ryan Manzler, Jaime Heller, Primi Ranola, Farah Kausar, Sherri Mosovsky, Diana Willeke, Elizabeth Kalinkara Gomez, Janelle Rodriguez, Nobuko Kemmotsu, May Eshel, Deborah Raymond, Abigail Desrosiers, Raymond James, Lauren Jackson, Iris Egner, Wesley Schlett, Courtney Blair, Lauren Ruffrage, Berenice Sevilla, Barbara Sommerfeld, Dustin Le, Erica Botting, Gabriella Mazur, Daniele Derlein, Ying Liu, Ciera Cobb, Olivia Masiewicz, Jennifer Mule, Michael Morsillo, Ella Hilt, Lisbeth Pennente, Bobbie Stubbeman, Alicia Garrido, Valeria Ravasi, Ioana Croitoru, Christos Koros, Nikolas Papagiannakis, Frank Ferrari, Mengyu Zheng, Shawna Reddie, Alicia Alejandra, Andrea Gray, Alejandra Valenzuela, Caitlin Goodman, Sara Dresler, Neil Santos, Fahrial Esha, Kyle Rizer, Nadine Zablith, Liliana Dumitrescu, Debra Galley, Victoria Kate Foster, Jamil Razzaque, Madita Grümmer, Yara Krasowski, Elisabeth Sittig, Oluwadamilola Ojo, Kelly Clark, Rory Mahabir, Kori Ribb, Shamera Willoughby   +145 more
wiley   +1 more source

Application of Levy flight-based harmony search algorithm for the flexible job shop scheduling. [PDF]

Sci Rep
Li J, Zhou Y.
europepmc   +1 more source

A new Digital Harmony Search algorithm for optimizing Pump Scheduling in Water Distribution Networks. [PDF]

Water Res X
De Paola F, Pugliese F, Fontana N, Giugni M.   +3 more
europepmc   +1 more source

Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations. [PDF]

Sci Rep, 2017
Tuo S, Zhang J, Yuan X, He Z, Liu Y, Liu Z.   +5 more
europepmc   +1 more source

Author Correction: Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations. [PDF]

Sci Rep, 2018
Tuo S, Zhang J, Yuan X, He Z, Liu Y, Liu Z.   +5 more
europepmc   +1 more source

A Hybrid Semi‐Inverse Variational and Machine Learning Approach for the Schrödinger Equation

Advanced Physics Research, EarlyView.
A hybrid semi‐inverse variational and machine‐learning framework is presented for solving the Schrödinger equation with complex quantum potentials. Physics‐based variational solutions generate high‐quality training data, enabling Random Forest and Neural Network models to deliver near‐perfect energy predictions.
Khalid Reggab, Houssam Eddine Hailouf, Kingsley Onyebuchi Obodo, Mireille Megnidio‐Tchoukouegno, Mohammed Benali Kanoun, Souraya Goumri‐Said   +5 more
wiley   +1 more source