Results 71 to 80 of about 93,638 (313)

Thyroid Ultrasound Texture Classification Using Autoregressive Features in Conjunction With Machine Learning Approaches

IEEE Access, 2019
The thyroid is one of the largest endocrine glands in the human body, which is involved in several body mechanisms like controlling protein synthesis, use of energy sources, and controlling the body's sensitivity to other hormones.
Prabal Poudel, Alfredo Illanes, Elmer J. G. Ataide, Nazila Esmaeili, Sathish Balakrishnan, Michael Friebe   +5 more
doaj   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

Advanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone, Meng Tang, Camelia Florica, Bin He, Jingkai Xu, Selma Amara, Georgian Melinte, Xixiang Zhang, Gianluca Setti   +8 more
wiley   +1 more source

Classification of Breast Tissue by Texture Analysis [PDF]

Procedings of the British Machine Vision Conference 1991, 1991
The identification of glandular tissue in breast X-rays (mammograms) is important both in assessing asymmetry between left and right breasts, and in estimating the radiation risk associated with mammographic screening. The appearance of glandular tissue in mammograms is highly variable, ranging from sparse streaks to dense blobs.
Peter I. Miller, Susan M. Astley
openaire   +1 more source

Classification of ordered texture images using regression modelling and granulometric features [PDF]

, 2011
Structural information available from the granulometry of an image has been used widely in image texture analysis and classification. In this paper we present a method for classifying texture images which follow an intrinsic ordering of textures, using ...
Stephen Marshall, Gray, Alison, Khatun, Mahmuda, Marshall, Stephen, Alison Gray, Mahmuda Khatun   +5 more
core   +1 more source

Resolving the Cu(bdc) Conundrum: Identifying Non‐Porous Packing of Prototypical Coordination‐Network Thin Films Combining Advanced Diffraction Techniques and Computational Modelling

Advanced Functional Materials, EarlyView.
Solution‐processed Cu(bdc) forms prototypical MOF thin films for which a multitude of not fully satisfactory structural models have been suggested. Combining rotating grazing‐incidence diffraction and X‐ray reflectivity on two complementary samples with density‐functional theory, we first discard the previously suggested models and then identify a non ...
Narges Taghizade, Mario Fratschko, Robbin Steentjes, Mercedes Linares‐Moreau, Paolo Falcaro, Christof Wöll, Roland Resel, Egbert Zojer   +7 more
wiley   +1 more source

Unlocking Exceptional Strengthening in Aluminum Alloys via Interstitial Cottrell Atmosphere Formation

Advanced Functional Materials, EarlyView.
Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee, Hojang Kim, Yixuan Hu, Injong Oh, Tae‐Hyeok Kang, Hyeonbeen Noh, Yuhyun Park, Sunkun Choi, Pyuck‐Pa Choi, Kolan Madhav Reddy, Gi‐Dong Sim   +10 more
wiley   +1 more source

Texture Classification Using Sparse Frame-Based Representations

EURASIP Journal on Advances in Signal Processing, 2006
A new method for supervised texture classification, denoted by frame texture classification method (FTCM), is proposed. The method is based on a deterministic texture model in which a small image block, taken from a texture region, is modeled as a ...
Skretting Karl, Husøy JohnHåkon   +1 more
doaj   +1 more source

Learning midlevel image features for natural scene and texture classification [PDF]

, 2007
This paper deals with coding of natural scenes in order to extract semantic information. We present a new scheme to project natural scenes onto a basis in which each dimension encodes statistically independent information.
O'Connor, Noel E., Guérin-Dugué, Anne, O'Connor, Noël, Le Borgne, Hervé, O\u27Connor, Noel E.   +4 more
core   +1 more source

A Skin‐Like Strain Sensor for Real‐Time Human Motion Detection

Advanced Functional Materials, EarlyView.
A skin‐like strain sensor with exceptional flexibility and breathability enables real‐time human motion detection. It offers continuous ECG monitoring and gesture recognition, ensuring high durability and comfort. This innovative design is ideal for wearable applications, combining reliable performance with seamless integration into dynamic ...
Shiqi Song, Zhe Li, Jingya Guo, Shuo Shi, Jian Fang, Xungai Wang   +5 more
wiley   +1 more source

Projected Texture for Object Classification [PDF]

, 2008
Algorithms for classification of 3D objects either recover the depth information lost during imaging using multiple images, structured lighting, image cues, etc. or work directly the images for classification. While the latter class of algorithms are more efficient and robust in comparison, they are less accurate due to the lack of depth information ...
Avinash Sharma 0001, Anoop M. Namboodiri
openaire   +1 more source