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407 Results Found

  • Article
  • Open Access
4 Citations
3,496 Views
14 Pages

A Closed-Loop Approach to Fight Coronavirus: Early Detection and Subsequent Treatment

  • Guoguang Rong,
  • Yuqiao Zheng,
  • Xi Yang,
  • Kangjian Bao,
  • Fen Xia,
  • Huihui Ren,
  • Sumin Bian,
  • Lan Li,
  • Bowen Zhu and
  • Mohamad Sawan

20 October 2022

The recent COVID-19 pandemic has caused tremendous damage to the social economy and people’s health. Some major issues fighting COVID-19 include early and accurate diagnosis and the shortage of ventilator machines for critical patients. In this...

  • Article
  • Open Access
21 Citations
6,713 Views
14 Pages

Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport

  • Luca Ciampi,
  • Paweł Foszner,
  • Nicola Messina,
  • Michał Staniszewski,
  • Claudio Gennaro,
  • Fabrizio Falchi,
  • Gianluca Serao,
  • Michał Cogiel,
  • Dominik Golba and
  • Giuseppe Amato
  • + 1 author

31 October 2022

The automatic detection of violent actions in public places through video analysis is difficult because the employed Artificial Intelligence-based techniques often suffer from generalization problems. Indeed, these algorithms hinge on large quantitie...

  • Article
  • Open Access
17 Citations
3,904 Views
15 Pages

Deep Multi-Scale Features Fusion for Effective Violence Detection and Control Charts Visualization

  • Nadia Mumtaz,
  • Naveed Ejaz,
  • Suliman Aladhadh,
  • Shabana Habib and
  • Mi Young Lee

1 December 2022

The study of automated video surveillance systems study using computer vision techniques is a hot research topic and has been deployed in many real-world CCTV environments. The main focus of the current systems is higher accuracy, while the assistanc...

  • Feature Paper
  • Article
  • Open Access
59 Citations
7,410 Views
16 Pages

ViolenceNet: Dense Multi-Head Self-Attention with Bidirectional Convolutional LSTM for Detecting Violence

  • Fernando J. Rendón-Segador,
  • Juan A. Álvarez-García,
  • Fernando Enríquez and
  • Oscar Deniz

Introducing efficient automatic violence detection in video surveillance or audiovisual content monitoring systems would greatly facilitate the work of closed-circuit television (CCTV) operators, rating agencies or those in charge of monitoring socia...

  • Article
  • Open Access
4 Citations
3,027 Views
18 Pages

Transformer and Adaptive Threshold Sliding Window for Improving Violence Detection in Videos

  • Fernando J. Rendón-Segador,
  • Juan A. Álvarez-García and
  • Luis M. Soria-Morillo

22 August 2024

This paper presents a comprehensive approach to detect violent events in videos by combining CrimeNet, a Vision Transformer (ViT) model with structured neural learning and adversarial regularization, with an adaptive threshold sliding window model ba...

  • Article
  • Open Access
5 Citations
2,634 Views
20 Pages

Two-Stage Video Violence Detection Framework Using GMFlow and CBAM-Enhanced ResNet3D

  • Mohamed Mahmoud,
  • Bilel Yagoub,
  • Mostafa Farouk Senussi,
  • Mahmoud Abdalla,
  • Mahmoud Salaheldin Kasem and
  • Hyun-Soo Kang

8 April 2025

Video violence detection has gained significant attention in recent years due to its applications in surveillance and security. This paper proposes a two-stage framework for detecting violent actions in video sequences. The first stage leverages GMFl...

  • Article
  • Open Access
93 Citations
8,952 Views
17 Pages

Fighting Deepfakes by Detecting GAN DCT Anomalies

  • Oliver Giudice,
  • Luca Guarnera and
  • Sebastiano Battiato

To properly contrast the Deepfake phenomenon the need to design new Deepfake detection algorithms arises; the misuse of this formidable A.I. technology brings serious consequences in the private life of every involved person. State-of-the-art prolife...

  • Article
  • Open Access
1,194 Views
15 Pages

10 September 2025

Addressing the prevalent challenges of inadequate detection accuracy and sluggish detection speed encountered by police patrol robots during security patrols, we propose an innovative algorithm based on the YOLOv8 model. Our method consists of substi...

  • Review
  • Open Access
14 Citations
6,386 Views
17 Pages

A State-of-the-Art Survey on Artificial Intelligence to Fight COVID-19

  • Md. Mohaimenul Islam,
  • Tahmina Nasrin Poly,
  • Belal Alsinglawi,
  • Ming Chin Lin,
  • Min-Huei Hsu and
  • Yu-Chuan (Jack) Li

Artificial intelligence (AI) has shown immense potential to fight COVID-19 in many ways. This paper focuses primarily on AI’s role in managing COVID-19 using digital images, clinical and laboratory data analysis, and a summary of the most recent arti...

  • Article
  • Open Access
22 Citations
6,091 Views
45 Pages

Prevention and Fighting against Web Attacks through Anomaly Detection Technology. A Systematic Review

  • Tomás Sureda Riera,
  • Juan-Ramón Bermejo Higuera,
  • Javier Bermejo Higuera,
  • José-Javier Martínez Herraiz and
  • Juan-Antonio Sicilia Montalvo

17 June 2020

Numerous techniques have been developed in order to prevent attacks on web servers. Anomaly detection techniques are based on models of normal user and application behavior, interpreting deviations from the established pattern as indications of malic...

  • Article
  • Open Access
1,402 Views
21 Pages

10 October 2025

Video violence detection plays a crucial role in intelligent surveillance and public safety, yet existing methods still face challenges in modeling complex multi-person interactions. To address this, we propose IDG-ViolenceNet, a dual-stream video vi...

  • Editorial
  • Open Access
2 Citations
3,601 Views
2 Pages

9 February 2018

With this Editorial we want to present the Special Issue “Big Data and Precision Medicine Series I: Lung Cancer Early Diagnosis” to the scientific community, which aims to gather experts on the early detection of lung cancer in order to implement com...

  • Article
  • Open Access
7 Citations
4,261 Views
19 Pages

5 June 2024

With the widespread deployment of surveillance cameras, automatic violence detection has attracted extensive attention from industry and academia. Though researchers have made great progress in video-based violence detection, it is still a challengin...

  • Article
  • Open Access
17 Citations
6,670 Views
24 Pages

4 December 2023

With the recent rise in violent crime, the real-time situation analysis capabilities of the prevalent closed-circuit television have been employed for the deterrence and resolution of criminal activities. Anomaly detection can identify abnormal insta...

  • Article
  • Open Access
4 Citations
2,600 Views
19 Pages

10 October 2021

The welfare of male fattening pigs may be improved by refraining from castration, but may be compromised, in turn, by harmful social behaviour in groups of boars. In addition, boar taint may be problematic. This study aimed to evaluate these potentia...

  • Article
  • Open Access
30 Citations
3,225 Views
22 Pages

Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection

  • Sabah Abdulazeez Jebur,
  • Khalid A. Hussein,
  • Haider Kadhim Hoomod and
  • Laith Alzubaidi

5 September 2023

Detecting violence in various scenarios is a difficult task that requires a high degree of generalisation. This includes fights in different environments such as schools, streets, and football stadiums. However, most current research on violence dete...

  • Review
  • Open Access
28 Citations
10,825 Views
14 Pages

22 November 2012

The honeybee is a social insect that exhibits various social behaviors. To elucidate the neural basis of honeybee behavior, we detected neural activity in freely-moving honeybee workers using an immediate early gene (IEG) that is expressed in a neura...

  • Article
  • Open Access
24 Citations
5,423 Views
15 Pages

5 January 2024

Detecting violent behavior in videos to ensure public safety and security poses a significant challenge. Precisely identifying and categorizing instances of violence in real-life closed-circuit television, which vary across specifications and locatio...

  • Review
  • Open Access
62 Citations
9,233 Views
22 Pages

3 August 2020

Bacteria will likely become our most significant enemies of the 21st century, as we are approaching a post-antibiotic era. Bacteriophages, viruses that infect bacteria, allow us to fight infections caused by drug-resistant bacteria and create specifi...

  • Feature Paper
  • Review
  • Open Access
24 Citations
14,799 Views
27 Pages

A Comprehensive Overview on the Production of Vaccines in Plant-Based Expression Systems and the Scope of Plant Biotechnology to Combat against SARS-CoV-2 Virus Pandemics

  • Manu Kumar,
  • Nisha Kumari,
  • Nishant Thakur,
  • Shashi Kant Bhatia,
  • Ganesh Dattatraya Saratale,
  • Gajanan Ghodake,
  • Bhupendra M. Mistry,
  • Hemasundar Alavilli,
  • D. S. Kishor and
  • Sang-Min Chung
  • + 1 author

15 June 2021

Many pathogenic viral pandemics have caused threats to global health; the COVID-19 pandemic is the latest. Its transmission is growing exponentially all around the globe, putting constraints on the health system worldwide. A novel coronavirus, severe...

  • Article
  • Open Access
109 Citations
37,261 Views
15 Pages

12 February 2019

This paper examines the potential use of fire extinguishing balls as part of a proposed system, where drone and remote-sensing technologies are utilized cooperatively as a supplement to traditional firefighting methods. The proposed system consists o...

  • Article
  • Open Access
12 Citations
5,507 Views
12 Pages

Aggressiveness, Mating Behaviour and Lifespan of Group Housed Rabbit Does

  • Zsolt Gerencsér,
  • Zsolt Matics,
  • Rubina T. Szabó,
  • Károly Kustos,
  • Annamária Mikó,
  • István Nagy,
  • Meinrad Odermatt,
  • Tamás Atkári and
  • Zsolt Szendrő

20 September 2019

Aggressiveness is one of the main problems in group housing of rabbit does. The aim of the experiment was to investigate the frequency of aggressiveness and mating behaviour as well as the lifespan of does depending on group composition. The female a...

  • Review
  • Open Access
25 Citations
8,111 Views
15 Pages

Colorimetric Materials for Fire Gas Detection—A Review

  • Katrin Schmitt,
  • Karina R. Tarantik,
  • Carolin Pannek and
  • Jürgen Wöllenstein

The damage caused by outbreaks of fire continues to be enormous despite ongoing improvements in fire detection and fighting. Therefore, the detection of fires at the earliest possible stage is essential. The latest developments in fire detection devi...

  • Review
  • Open Access
43 Citations
9,043 Views
18 Pages

COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods

  • Raphael Taiwo Aruleba,
  • Tayo Alex Adekiya,
  • Nimibofa Ayawei,
  • George Obaido,
  • Kehinde Aruleba,
  • Ibomoiye Domor Mienye,
  • Idowu Aruleba and
  • Blessing Ogbuokiri

As of 27 December 2021, SARS-CoV-2 has infected over 278 million persons and caused 5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to artificial intelligence, have been used for its detection, diagnosis, and surve...

  • Article
  • Open Access
38 Citations
9,486 Views
9 Pages

7 January 2021

The need to fight the progressive negative impact of fake news is escalating, which is evident in the strive to do research and develop tools that could do this job. However, a lack of adequate datasets and good word embeddings have posed challenges...

  • Feature Paper
  • Review
  • Open Access
89 Citations
10,347 Views
29 Pages

Mesoporous Silica Materials as Drug Delivery: “The Nightmare” of Bacterial Infection

  • Marina Martínez-Carmona,
  • Yurii K. Gun’ko and
  • María Vallet-Regí

Mesoporous silica materials (MSM) have a great surface area and a high pore volume, meaning that they consequently have a large loading capacity, and have been demonstrated to be unique candidates for the treatment of different pathologies, including...

  • Proceeding Paper
  • Open Access
1,032 Views
5 Pages

Since its emergence, enticement detection using information technology, as a special means of investigation, has been widely used in judicial practice to combat crime due to its inherent advantages of initiative and efficiency. With the development o...

  • Article
  • Open Access
2 Citations
2,658 Views
16 Pages

Impulsive Aggression Break, Based on Early Recognition Using Spatiotemporal Features

  • Manar M. F. Donia,
  • Wessam H. El-Behaidy and
  • Aliaa A. A. Youssif

The study of human behaviors aims to gain a deeper perception of stimuli that control decision making. To describe, explain, predict, and control behavior, human behavior can be classified as either non-aggressive or anomalous behavior. Anomalous beh...

  • Article
  • Open Access
2 Citations
2,294 Views
17 Pages

Effects of Group Size on Behavior, Reproduction, and mRNA Expression in Brains of Brandt’s Voles

  • Wei Lu,
  • Shuli Huang,
  • Jing Liu,
  • Erdenetuya Batsuren,
  • Guoliang Li,
  • Xinru Wan,
  • Jidong Zhao,
  • Zuoxin Wang,
  • Wenxuan Han and
  • Zhibin Zhang

12 February 2023

For social animals, a moderate group size is greatly important to maintain their reproductive success. However, the underlying neurobiological mechanism of group size on behavior and reproduction has rarely been investigated. In this study, we examin...

  • Review
  • Open Access
11 Citations
4,689 Views
12 Pages

8 September 2021

Like all invertebrates, flies such as Drosophila lack an adaptive immune system and depend on their innate immune system to protect them against pathogenic microorganisms and parasites. In recent years, it appears that the nervous systems of eucaryot...

  • Article
  • Open Access
28 Citations
4,922 Views
15 Pages

Detection of Pig Movement and Aggression Using Deep Learning Approaches

  • Jiacheng Wei,
  • Xi Tang,
  • Jinxiu Liu and
  • Zhiyan Zhang

30 September 2023

Motion and aggressive behaviors in pigs provide important information for the study of social hierarchies in pigs and can be used as a selection indicator for pig health and aggression parameters. However, relying only on visual observation or survei...

  • Review
  • Open Access
33 Citations
12,326 Views
13 Pages

Current and Potential Developments of Cortisol Aptasensing towards Point-of-Care Diagnostics (POTC)

  • Azrul Syafiq Zainol Abidin,
  • Ruslinda A. Rahim,
  • Mohd Khairuddin Md Arshad,
  • Mohd Faudzi Fatin Nabilah,
  • Chun Hong Voon,
  • Thean-Hock Tang and
  • Marimuthu Citartan

22 May 2017

Anxiety is a psychological problem that often emerges during the normal course of human life. The detection of anxiety often involves a physical exam and a self-reporting questionnaire. However, these approaches have limitations, as the data might la...

  • Article
  • Open Access
47 Citations
4,798 Views
16 Pages

A New Approach for Abnormal Human Activities Recognition Based on ConvLSTM Architecture

  • Roberta Vrskova,
  • Robert Hudec,
  • Patrik Kamencay and
  • Peter Sykora

12 April 2022

Recognizing various abnormal human activities from video is very challenging. This problem is also greatly influenced by the lack of datasets containing various abnormal human activities. The available datasets contain various human activities, but o...

  • Review
  • Open Access
114 Citations
12,864 Views
22 Pages

Advanced Nanobiomaterials: Vaccines, Diagnosis and Treatment of Infectious Diseases

  • Eva Torres-Sangiao,
  • Alina Maria Holban and
  • Monica Cartelle Gestal

The use of nanoparticles has contributed to many advances due to their important properties such as, size, shape or biocompatibility. The use of nanotechnology in medicine has great potential, especially in medical microbiology. Promising data show t...

  • Article
  • Open Access
2 Citations
1,835 Views
25 Pages

28 May 2025

This study presents a novel water mist fire fighting system that integrates water mist sprays and water mist curtains, designed to achieve simultaneous fire suppression, thermal insulation, and smoke control. Three full-scale experiments were conduct...

  • Article
  • Open Access
8 Citations
7,016 Views
9 Pages

Refined Method for Droplet Microfluidics-Enabled Detection of Plasmodium falciparum Encoded Topoisomerase I in Blood from Malaria Patients

  • Marianne Smedegaard Hede,
  • Patricia Nkem Okorie,
  • Signe Kirk Fruekilde,
  • Søren Fjelstrup,
  • Jonas Thomsen,
  • Oskar Franch,
  • Cinzia Tesauro,
  • Magnus Tobias Bugge,
  • Mette Christiansen and
  • Birgitta Ruth Knudsen
  • + 10 authors

5 October 2015

Rapid and reliable diagnosis is essential in the fight against malaria, which remains one of the most deadly infectious diseases in the world. In the present study we take advantage of a droplet microfluidics platform combined with a novel and user-f...

  • Review
  • Open Access
43 Citations
7,571 Views
24 Pages

Non-Destructive Spectroscopic and Imaging Techniques for the Detection of Processed Meat Fraud

  • Kiah Edwards,
  • Marena Manley,
  • Louwrens C. Hoffman and
  • Paul J. Williams

18 February 2021

In recent years, meat authenticity awareness has increased and, in the fight to combat meat fraud, various analytical methods have been proposed and subsequently evaluated. Although these methods have shown the potential to detect low levels of adult...

  • Article
  • Open Access
39 Citations
5,113 Views
17 Pages

Within the complex framework of anti-COVID-19 health management, where the criteria of diagnostic testing, the availability of public-health resources and services, and the applied anti-COVID-19 policies vary between countries, the reliability and ac...

  • Article
  • Open Access
11 Citations
4,180 Views
18 Pages

4 February 2020

The topic of suspicious behavior detection has been one of the most emergent research themes in computer vision, video analysis, and monitoring. Due to the huge number of CCTV (closed-circuit television) systems, it is not easy for people to manually...

  • Article
  • Open Access
53 Citations
10,498 Views
28 Pages

Multispectral Detection of Commercial Unmanned Aerial Vehicles

  • Jan Farlik,
  • Miroslav Kratky,
  • Josef Casar and
  • Vadim Stary

28 March 2019

The fight against unmanned vehicles is nothing new; however, especially with the arrival of new technologies that are easily accessible for the wider population, new problems are arising. The deployment of small unmanned aerial vehicles (UAVs) by par...

  • Article
  • Open Access
30 Citations
6,167 Views
15 Pages

4 November 2020

This paper proposes a new kind of cyber-security system, named Botnet Defense System (BDS), which defends an Internet of Things (IoT) system against malicious botnets. The concept of BDS is “Fight fire with fire”. The distinguishing featu...

  • Article
  • Open Access
6 Citations
2,881 Views
19 Pages

Antibacterial Activity against Clinical Strains of a Natural Polyphenolic Extract from Albariño White Grape Marc

  • Tamara Manso,
  • Marta Lores,
  • José Luis R. Rama,
  • Rosa-Antía Villarino,
  • Lorena G. Calvo,
  • Aly Castillo,
  • María Celeiro and
  • Trinidad de Miguel

Infections caused by multidrug-resistant bacteria are becoming increasingly frequent and sometimes difficult to treat due to the limited number of antibiotics active against them. In addition, they can spread between countries and/or continents, whic...

  • Review
  • Open Access
14 Citations
8,792 Views
29 Pages

MALDI MS-Based Investigations for SARS-CoV-2 Detection

  • Mariaimmacolata Preianò,
  • Serena Correnti,
  • Corrado Pelaia,
  • Rocco Savino and
  • Rosa Terracciano

1 December 2021

The urgent need to fight the COVID-19 pandemic has impressively stimulated the efforts of the international scientific community, providing an extraordinary wealth of studies. After the sequence of the virus became available in early January 2020, sa...

  • Review
  • Open Access
12 Citations
4,383 Views
11 Pages

1 October 2018

Neisseria meningitidis, an obligate pathogenic bacterium in humans, has acquired different defense mechanisms to detect and fight the oxidative stress generated by the host’s defense during infection. A notable example of such a mechanism is th...

  • Review
  • Open Access
97 Citations
15,283 Views
23 Pages

Next-Generation Sequencing (NGS) in COVID-19: A Tool for SARS-CoV-2 Diagnosis, Monitoring New Strains and Phylodynamic Modeling in Molecular Epidemiology

  • Goldin John,
  • Nikhil Shri Sahajpal,
  • Ashis K. Mondal,
  • Sudha Ananth,
  • Colin Williams,
  • Alka Chaubey,
  • Amyn M. Rojiani and
  • Ravindra Kolhe

This review discusses the current testing methodologies for COVID-19 diagnosis and explores next-generation sequencing (NGS) technology for the detection of SARS-CoV-2 and monitoring phylogenetic evolution in the current COVID-19 pandemic. The review...

  • Perspective
  • Open Access
30 Citations
6,099 Views
16 Pages

Electrochemical Biosensors for Circulating Tumor DNA Detection

  • Ke Wang,
  • Zhijia Peng,
  • Xiaogang Lin,
  • Weiqi Nian,
  • Xiaodong Zheng and
  • Jayne Wu

17 August 2022

Early diagnosis and treatment have always been highly desired in the fight against cancer, and detection of circulating tumor DNA (ctDNA) has recently been touted as highly promising for early cancer-screening. Consequently, the detection of ctDNA in...

  • Article
  • Open Access
1,305 Views
21 Pages

The Use of Antimicrobials in Animal Husbandry as a Potential Factor for the Increased Incidence of Colorectal Cancer: Food Safety and Kinetics in a Murine Model

  • Rosa D’Ambrosio,
  • Stefania Cavallo,
  • Roberta Brunetti,
  • Roberta Pellicanò,
  • Emanuela Vaccaro,
  • Giorgia Borriello,
  • Rubina Paradiso,
  • Francesco Paolo Serpe,
  • Sara Lambiase and
  • Loredana Baldi
  • + 8 authors

23 January 2025

The aim of this research was to investigate the effects of the prolonged use of the broad-spectrum antimicrobial widely used in animal husbandry. By means of a mouse model, a translational study was carried out on immunocompetent mice (with a complet...

  • Review
  • Open Access
20 Citations
4,482 Views
25 Pages

MicroRNA as a Diagnostic Tool, Therapeutic Target and Potential Biomarker in Cutaneous Malignant Melanoma Detection—Narrative Review

  • Agata Poniewierska-Baran,
  • Łukasz Zadroga,
  • Edo Danilyan,
  • Paulina Małkowska,
  • Paulina Niedźwiedzka-Rystwej and
  • Andrzej Pawlik

Melanoma is the most serious type of skin cancer, causing a large majority of deaths but accounting for only ~1% of all skin cancer cases. The worldwide incidence of malignant melanoma is increasing, causing a serious socio-economic problem. Melanoma...

  • Article
  • Open Access
7 Citations
3,428 Views
31 Pages

24 January 2024

Human behavior is regarded as one of the most complex notions present nowadays, due to the large magnitude of possibilities. These behaviors and actions can be distinguished as normal and abnormal. However, abnormal behavior is a vast spectrum, so in...

  • Article
  • Open Access
3 Citations
6,611 Views
13 Pages

Compressed Sensing Techniques Applied to Ultrasonic Imaging of Cargo Containers

  • Yuri Álvarez López and
  • José Ángel Martínez Lorenzo

15 January 2017

One of the key issues in the fight against the smuggling of goods has been the development of scanners for cargo inspection. X-ray-based radiographic system scanners are the most developed sensing modality. However, they are costly and use bulky sour...

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