Identification and investigation of the area under cultivation in Lenjanat using Landsat 8 satellite images by Vahid Riahi, Parviz Zeaiean Firouzabadi, Farhad Azizpour, Parastoo Darouei

Get full text

Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI) by Arnick Abdollahi, Biswajeet Pradhan

Get full text

Pixel-Level Recognition of Pavement Distresses Based on U-Net by Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang

“…When the types of distresses are distinguished, the PA values of models using the two classification networks are 66.103% and 44.953%, respectively. …”
Get full text

Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network by Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa

“…The experimental results indicate that the softmax regression model has a high accuracy in sample size detection, with a 94.4% success rate, but a low success rate in appearance classification (only 14.5% for the lowest group). The convolutional neural network model, however, achieved a high success rate not only in size classification, at 94.5%, but also in appearance classification, at 91.6%, and the overall quality grading accuracy was 86.6%. …”
Get full text

Automated potato tuber mass estimation and grading with multiangle 2D images by Ayush K. Sharma, Lincoln Zotarelli, Alina Zare, Lakesh K. Sharma

“…These models were trained on 14 and tested on 9 different cultivars. In the second step, a random forest classification model was developed to grade the potato tubers based on image-extracted tuber width dimensions from the top, side, and both angles. …”
Get full text

A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…The study used classification models generated using Waikato Environment for Knowledge Analysis (WEKA). …”
Get full text

Kyoto global consensus report on<i>Helicobacter pylori</i>gastritis: summary by A. A. Sheptulin

Get full text

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

Get full text

Comparative analysis methods in informatics by Jelena Gasperovič, Albertas Čaplinskas

Get full text

Stinging Nettles of Florida: Urtica by Wendy B. Zomlefer

Get full text

Common Purslane Biology and Control in Fruiting Vegetables, Cucurbits, and Small Fruits by Andrew W. MacRae

Get full text

Multidimensional analogs of A. Bicardze system by Eugenijus Paliokas

Get full text

Calculated parameters for the diagnosis of Wilson disease by Nada Syazana Zulkufli, Pavai Sthaneshwar, Wah-Kheong Chan

“…Discriminant function showed the best diagnostic specificity (99.4%), sensitivity (98.2%) and classification accuracy (99.1%). Caeruloplasmin levels <0.14 g/L showed higher accuracy than the recommended 0.20 g/L cut-off value (97.7% vs. 87.8%). …”
Get full text

Analysis of Climate Change Effects on Precipitation and Temperature Trends in Spain by Blanca Arellano, Qianhui Zheng, Josep Roca

“…Spain’s climate is likely to change from Mediterranean to warm steppe in the Köppen classification system (from “C” to “B”).…”
Get full text

Social relationship for physical objects by Dawei Wei, Huansheng Ning, Yuke Qian, Tao Zhu

Get full text

Data acquisition system for OLED defect detection and augmentation of system data through diffusion model by Byungjoon Kim, Yongduek Seo

Get full text

An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection by zahra asgari varzaneh, soodeh hosseini

Get full text

AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

Get full text

<i>GLI1</i>-Rearranged Enteric Tumors: Updates on Clinicopathologic and Molecular Genetics Features by Ahmed I. Younes, Haider A. Mejbel

Get full text

Deep Anomaly Detection with Attention (DADA): A Novel Approach for Identifying Multipath Interference in Radar Signals by Kang Yan, Weidong Jin, Yingkun Huang, Zhenhua Li, Pucha Song, Ligang Huang

Get full text