LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

“…The observed relationship reveals that frequencies affect component measurements by -0.5 while using − 1.8379 as the intercept and matching the predictive resonance model. The performance visuals of the proposed model show minimal error in prediction across different LC combinations along with smooth and reliable predictive outputs and negligible bias according to the residual histogram. …”
Get full text

A Robust Framework for 2D Human Face Reconstruction from Half-Frontal Views in Low-Quality Surveillance Footage by Maria Siddiqua, Muhammad Furqan Zia

“…Representative frames are extracted and enhanced for video inputs using one of three techniques: histogram equalization, contrast stretching, or logarithmic transformation. …”
Get full text

Bag of Feature-Based Ensemble Subspace KNN Classifier in Muscle Ultrasound Diagnosis of Diabetic Peripheral Neuropathy by Kadhim K. Al-Barazanchi, Ali H. Al-Timemy, Zahid M. Kadhim

“…This work develops a computer-aided diagnostic (CAD) system based on muscle ultrasound that integrates the bag of features (BOF) and an ensemble subspace k-nearest neighbor (KNN) algorithm for DPN detection. The BOF creates a histogram of visual word occurrences to represent the muscle ultrasound images and trains an ensemble classifier through cross-validation, determining optimal parameters to improve classification accuracy for the ensemble diagnosis system. …”
Get full text

A Prospective Cohort Study on the Respiratory Effect on Modified Mallampati Scoring by Rotem Naftalovich, Marko Oydanich, Janet Adeola, Jean Daniel Eloy, Daniel Rodriguez-Correa, George L. Tewfik

“…The respiratory change effect was quantified and visualized by plotting the area under the curve of the histogram of the deviations. 42% of the patients had a worsening of scores by 1 or 2 points with inspiration while 36% of the patients had a worsening of scores by 1 or 2 points with expiration. …”
Get full text

Inhomogeneous Illumination Image Enhancement Under Extremely Low Visibility Condition by Libang Chen, Jinyan Lin, Qihang Bian, Yikun Liu, Jianying Zhou

“…Maximum Histogram Equalization (MHE) is used to achieve high contrast while maintaining fidelity to the original content. …”
Get full text

Unsupervised Boosted Fusion Network for Single Low-Light Image Enhancement by Jianfeng Zhang, Hengxuan Li, Zhanqiang Huo

“…In the network, we generate four images with different illuminations and texture detail information from the input low-light image by applying inverting, fixed-value gamma correction, adaptive gamma correction, and color-preserving adaptive histogram equalization in the preprocessing stage. …”
Get full text

Recovering the polyhedral geometry of fragmentsThe manuscript contains the link to the data by János Török, Gábor Domokos

“…Not only is the geometry of rock fragments often well approximated by ideal convex polyhedra having few faces and vertices, but these numbers carry vital geophysical information on the fragmentation process.Despite their significance, the identification of the number of faces and vertices of the ideal polyhedron has so far been carried out only through visual inspection. Here, we present an algorithm capable of performing this task in a reliable manner. …”
Get full text

An Automated Wavelet Scattering Network Classification Using Three Stages of Cataract Disease by Enas Hamood Al-Saadi, Ahmed Nidhal Khdiar, Lamis Hamood Al-Saadi

“… A cataract is an eye disease that causes visual distortion and the late stage of this disease can lead to blindness. …”
Get full text

Quantitative CT Assessment of Pulmonary Fibrosis Severity in Patients with Connective Tissue Disease-associated Interstitial Lung Disease by Ke WANG, Zitao HU, Lulu CUI, Shengya GUO, Xiaoqi HUANG

“…Objective: To classify pulmonary fibrosis severity in connective tissue disease-associated interstitial lung disease (CTD-ILD) patients by integrating visual scoring and quantitative computed tomography (CT). …”
Get full text

Modified LSTM based skin lesion segmentation and classification using optimization concept by S. Gomathi, N. Arunachalam

“…Skin lesion segmentation was performed using the U-Net method, and features such as color, texture via GLCM, and RGB histogram features were extracted from the segmented images. …”
Get full text

Hyperparameter Optimization of ANN, SVM, and KNN Models for Classification of Hazelnuts Images Based on Shell Cracks and Feature Selection Method by H. Bagherpour, F. Fatehi, A. Shojaeian, R. Bagherpour

“…At the semi-industrial scale, open-shell and closed-shell hazelnuts are currently separated from each other through visual inspection. This study aims to develop a new algorithm to separate open-shell hazelnuts from cracked or closed-shell hazelnuts. …”
Get full text

Copy-move forgery detection using binary discriminant features by Priya Mariam Raju, Madhu S. Nair

“…Hence, falsification of visual content of images is not at all limited to specialists and detection of forged images have become a highly challenging task. …”
Get full text

Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

“…Abstract In the field of medical imaging, accurately classifying brain tumors remains a significant challenge because of the visual similarities among different tumor types. This research addresses the challenge of multiclass categorization by employing Support Vector Machine (SVM) as the core classification algorithm and analyzing its performance in conjunction with feature extraction techniques such as Histogram of Oriented Gradients (HOG) and Local Binary Pattern (LBP), as well as the dimensionality reduction technique, Principal Component Analysis (PCA). …”
Get full text

Image Classification Models as a Balancer Between Product Typicality and Novelty by Hung-Hsiang Wang, Hsueh-Kuan Chen

“…The accuracy of the model of front views trained with the pyramid histogram of oriented gradients filter (PHOG)-Filter and random forest classifier was 78.5%, and the test accuracy reached 95%. …”
Get full text

Enhancing medical image privacy in IoT with bit-plane level encryption using chaotic map by Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea, Abdullah Aziz, Nadhmi A. Gazem, Abdullah Qayyum

“…For further security enhancement, this ciphertext is embedded into a carrier image, resulting in a visually secured output.ResultsTo evaluate the effectiveness of our algorithm, various tests are conducted, including correlation coefficient analysis (C.C < or negative), histogram analysis, key space [(1090)8] and sensitivity assessments, entropy evaluation [E(S) > 7.98], and occlusion analysis.ConclusionExtensive evaluations have proven that the designed scheme exhibits a high degree of resilience to attacks, making it particularly suitable for small IoT devices with limited processing power and memory.…”
Get full text

Artificial neural networks analysis for non-newtonian nanofluid flow with variable viscosity and MHD effects in wire covering processes by Maria Altaib Badawi, Zeeshan, Nehad Ali Shah, Imed Boukhris, Adel Thaljaoui

“…In the realm of artificial neural networks, the Levenberg-Marquardt Algorithm is characterized by its innovative stability and produces a computational resolution of the wire covering for third grade nanofluid flow (WC-TGNFF) utilizing regression plots (RP), histogram visualizations, state transition metrics, and mean squared errors (MSE). …”
Get full text

Contrast vector imaging for differential diagnosis of focal liver lesions: Analysis of tumoral vascular structures and flow characteristics. by Jeongin Yoo, Jeong Min Lee, Ijin Joo, Jeong Hee Yoon

“…Tumoral vascular structures, velocity histogram, and mean velocities were compared among hepatocellular carcinoma (HCC), non-HCC malignancies, and benign tumors using the Chi-square and Kruskal-Wallis tests, respectively. …”
Get full text

TECNOLOGÍAS PARA LA CONSERVACIÓN DEL ARTE Y PATRIMONIO CULTURAL. ALGORITMOS DE INTELIGENCIA ARTIFICIAL EN APLICACIONES by Teddy Alex Cevallos Bravo

Get full text

A secure and imperceptible communication system for sharing co-ordinate data by Ranjeet Bidwe, Sahil Kale, Gautam Khaire, Jay Patankar, Deepak Mane, Suraj Sawant

“…The mean square error (MSE) was consistently below 0.001, and histogram analysis confirmed visual consistency between cover and stego images. …”
Get full text

ProTaxoVis—protein taxonomic visualisation of presence by Yin-Chen Hsieh, Mathias Bockwoldt, Ines Heiland

“…ProTaxoVis also allows for visual quality checks of hits based on a coverage plot and a length histogram, which can be used to determine e-value and minimum protein length cutoffs. …”
Get full text