Crack Detection in Civil Infrastructure: A Method-Scenario Review by Chang Haochen, Gu Weifan, Guo Baohua, Bassir David

“…Ensuring the structural safety of civil infrastructure is vital for public welfare and cost-effective maintenance. Crack detection, as a key indicator of structural health, has transitioned from traditional image processing to advanced deep learning methods. …”
Get full text

Automatic detection of potential customers by opinion mining and intelligent agents by Raúl Moreno, Alberto Fernandez-Isabel, Isaac Martín De Diego, Javier M. Moguerza, Carmen Lancho, Marina Cuesta Santa Teresa

Get full text

Arabic Cyberbullying Detection: A Comprehensive Review of Datasets and Methodologies by Huda Aljalaoud, Kia Dashtipour, Ahmed Y. Al-Dubai

“…While extensive research has been conducted on cyberbullying detection in English, efforts in the Arabic language remain limited. …”
Get full text

A Novel Vision Sensing System for Tomato Quality Detection by Satyam Srivastava, Sachin Boyat, Shashikant Sadistap

“…Tomato samples have been collected from local market and data acquisition has been performed for data base preparation and various processing steps. Developed system can detect as well as classify the various diseases in tomato samples. …”
Get full text

Comparison of Moving Average and Differential Operation for Wheeze Detection in Spectrograms by Meng-Lun Hsueh, Jin-Peng Chen, Bing-Yuh Lu, Huey-Dong Wu, Pei-Yi Liu

Get full text

Intelligent Detection and Automatic Removal Robot for Skinned Garlic Cloves by Zhengbo Zhu, Xin Cao, Yawen Xiao, Li Xin, Lei Xin, Shuqian Li

“…The research results of this paper are conducive to the development of intelligent detection technology of garlic cloves, and to the development of garlic-planting technology and deep processing technology.…”
Get full text

Comparison of CNN-Based Architectures for Detection of Different Object Classes by Nataliya Bilous, Vladyslav Malko, Marcus Frohme, Alina Nechyporenko

“…(1) Background: Detecting people and technical objects in various situations, such as natural disasters and warfare, is critical to search and rescue operations and the safety of civilians. …”
Get full text

Detection of Fake News Using Deep Learning and Machine Learning by Gabriela CHIRIAC, Ada Maria CATINA

“…Automatically identifying fake news is a complex challenge requiring detailed understanding of misinformation propagation and advanced data processing. Machine Learning and Deep Learning algorithms for detection demand continuous adaptation as disinformation tactics evolve. …”
Get full text

Flood Detection/Monitoring Using Adjustable Histogram Equalization Technique by Fakhera Nazir, Muhammad Mohsin Riaz, Abdul Ghafoor, Fahim Arif

“…The proposed technique takes pre- and postimages and applies different processing steps for generating flood map without user interaction. …”
Get full text

Detection, molecular function and mechanisms of m5C in cancer by Linhui Zhang, Yuelong Li, Liqing Li, Fei Yao, Maoping Cai, Dingwei Ye, Yuanyuan Qu

Get full text

Remote Aerial Vehicle Solutions for Weed Detection in Precision Agriculture by Shekhar S. Borah, Aryan Anand, Prabha Sundaravadivel, Reginald Fletcher, Krishna N. Reddy

“…This study presents a novel Remote Aerial Vehicle-based approach for detecting pigweeds in soybean (Glycine max) fields using a combination of deep learning and advanced image processing techniques. …”
Get full text

Private detection of relatives in forensic genomics using homomorphic encryption by Fillipe D. M. de Souza, Hubert de Lassus, Ro Cammarota

Get full text

Detection of Interphase Fault Zone in Overhead Power Distribution Networks by E. V. Kalentionok

“…The paper proposes to detect an inspection zone in order to locate an interphase fault with the help of analytical calculation of distance up to the fault point using 3–4 expressions on the basis of data obtained as a result of multiple metering pertaining to emergency mode parameters  with their subsequent statistical processing.…”
Get full text

Advances in the Detection and Identification of Bacterial Biofilms Through NIR Spectroscopy by Cristina Allende-Prieto, Lucía Fernández, Pablo Rodríguez-Gonzálvez, Pilar García, Ana Rodríguez, Carmen Recondo, Beatriz Martínez

“…Additionally, we aimed to examine the capability of this technology to specifically identify <i>S. aureus</i> biofilms on glass surfaces commonly used as storage containers and processing equipment. We developed a detailed methodology for data acquisition and processing that takes into consideration the biochemical composition of these biofilms. …”
Get full text

Detection of water surface targets based on improved Deformable DETR by Pengjiu WANG, Junbin Gong, Wei LUO, Xiao HUANG, Junjie GUO

“…Although the frame rate was slightly lower than that of YOLOv3 and Faster R-CNN, it was significantly higher than that of Mask R-CNN, maintaining a reasonable processing speed while ensuring high detection accuracy.ConclusionsThe improved Deformable DETR algorithm proposed in this paper effectively improves the performance of water surface target detection. …”
Get full text

Unsupervised Salient Object Detection by Aggregating Multi-Level Cues by Chenxing Xia, Hanling Zhang

“…In this paper, we present a novel method to detect salient object based on multi-level cues. First, a proposal processing scheme is developed by various object-level saliency cues to generate an initial saliency map. …”
Get full text

Case study: software solution for vehicle license plate detection by Semen M. Levin, Artem E. Tikhonov

Get full text

Detection of Fake Instagram Accounts via Machine Learning Techniques by Stefanos Chelas, George Routis, Ioanna Roussaki

“…To accomplish this, publicly available data from Instagram users are collected and processed. After making the necessary feature additions to and removals from these data, they are fed into machine learning algorithms with the aim of detecting fake Instagram accounts. …”
Get full text

Crowd abnormal behavior detection based on motion similar entropy by Fei LI, Ken CHEN, Meng LI, Chunmei GUO

“…It is an important research content of graphic processing in the field of intelligent video surveillance to detect abnormal events.An algorithm based on entropy of motion similarity (EMS) to detect abnormal behavior was proposed.Based on the optical flow algorithm,taking the bottom flow block as the basic unit to get the scene motion information,according to the concept of social network model,the construction scene of the motion network model (MNM) was proposed,the division of the scene particles motion similarity was completed,and the distribution EMS of MNM was calculated in the time domain.Finally,the obtained image entropy was compared with the reasonable threshold,to determine whether abnormal behavior occured.Experimental results indicate that the proposed algo-rithm can detect abnormal behavior effectively and show promising performance while comparing with the state of the art methods.…”
Get full text

Automatic Speech Recognition Errors Detection And Correction: A Review by Rahhal Errattahi, Asmaa El Hannani, Hassan Ouahmane

“…The persistent presence of ASR errors have intensified the need to find alternative techniques to automatically detect and correct such errors. The correction of the transcription errors is very crucial not only to improve the speech recognition accuracy, but also to avoid the propagation of the errors to the subsequent language processing modules such as machine translation. …”
Get full text