27 papers · ranked by Valyu relevance
Ankita Bose, Jayasravani Bhumireddy, Naveen N
Object detection has compelling applications over a range of domains, including human-computer interfaces, security and video surveillance, navigation and road traffic monitoring, transportation systems, industrial automation healthcare, the world of Augmented Reality (AR) and Virtual Reality (VR), environment…
Edyta Janik-Karpinska, Michal Ceremuga, Marcin Niemcewicz, Marcin Podogrocki + 5 more
'Marcin Podogrocki' 'Maksymilian Stela' 'Natalia Cichon' 'Michal Bijak' 'Manuel José Cabral dos Santos Reis' 'Nishu Gupta'] Pathogens and their toxins can cause various diseases of different severity. Some of them may be fatal, and therefore early diagnosis and suitable treatment is essential. There are numerous…
Meng Jia, Troy Sorensen, Dorit Hammerling
We propose a generic, modular framework to optimize the placement of continuous monitoring sensors on oil and gas sites aiming to maximize the methane emissions detection efficiency. Our proposed framework substantially expands the problem scale compared to previous related studies and can be adapted for different…
Raed Abu Zitar, Mohammad Azmi Al-Betar, Mohamad Ryalat, Sofian Kassaymeh
'Sofian Kassaymeh'] This paper presents a review for techniques used for the detection and tracking of UAV's or drones. There are different techniques that depends on collecting measurements of the position, velocity, and image of the UAV and then using them in detection and tracking. Hybrid detection techniques are…
Wenwen Jing, Yan Wang, Yunze Yang, Yi Wang + 3 more
Timely diagnosis of acute diseases improves treatment outcomes and saves lives, but it requires fast and precision quantification of biomarkers. Here we report a time-resolved digital immunoassay based on plasmonic imaging of binding of single nanoparticles to biomarkers captured on a sensor surface. The real-time and…
Md Alamgir Kabir, Hussein Zilouchian, Muhammad Awais Younas, Waseem Asghar
'Waseem Asghar'] The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for…
Taehan Koo, Moon Hwan Kim, Mihn-Sook Jue, Mohd Nadhir Ab Wahab
Direct microscopic examination with potassium hydroxide is generally used as a screening method for diagnosing superficial fungal infections. Although this type of examination is faster than other diagnostic methods, it can still be time-consuming to evaluate a complete sample; additionally, it possesses the…
Marco Gandolfo, Marius V. Peelen
As a highly social species, humans preferentially attend to the faces and bodies of other people to efficiently recognize their identities, emotions, actions, and intentions. Previous research revealed specialized cognitive mechanisms for processing human faces and bodies. For example, upright person silhouettes are…
Ali Borji
Object detection remains as one of the most notorious open problems in computer vision. Despite large strides in accuracy in recent years, modern object detectors have started to saturate on popular benchmarks raising the question of how far we can reach with deep learning tools and tricks. Here, by employing 2…
Mostafa Sayahkarajy, Hartmut Witte
Accurate detection of tumors is critical for the success of oncologic surgical intervention. Along with any modality for the localization of tumors, surgeons achieve important information with direct palpation as long as direct touch of the tumor is possible. However, often due to using surgical tools in confined…
Ana Díaz-Fernández, Simona Ranallo, Francesco Ricci
Here we report the development of a method for the electrochemical ultrasensitive detection of antibodies that couples the programmability and versatility of DNA-based systems with the sensitivity provided by enzymatic amplification. The platform, termed Enzyme-Linked DNA Displacement (ELIDIS), is based on the use of…
Robin Kuhner, Christophe Cardone, Rafael Vieira Perrella, Fanny Mousseau + 7 more
Disease prevention, diagnosis, and treatment monitoring often require ultrasensitive (sub-)femtomolar biomarker detection and quantification. While standard ELISA assays yield picomolar sensitivity, existing ultrasensitive approaches reach fM, aM or even zM sensitivity. This, however, is obtained at the expense of…
E. Alperay Tarim, Betul Karakuzu, Cemre Oksuz, Oyku Sarigil + 5 more
'Melike Kizilkaya' 'Mahmoud Khatib A. A. Al-Ruweidi' 'Huseyin Cagatay Yalcin' 'Engin Ozcivici' 'H. Cumhur Tekin'] With the recent SARS-CoV-2 outbreak, the importance of rapid and direct detection of respiratory disease viruses has been well recognized. The detection of these viruses with novel technologies is vital in…
Nigar Anzar, Shariq Suleman, Yashda Singh, Supriya Kumari + 3 more
The increasing use of illicit drugs has become a major global concern. Illicit drugs interact with the brain and the body altering an individual’s mood and behavior. As the substance-of-abuse (SOA) crisis continues to spread across the world, in order to reduce trafficking and unlawful activity, it is important to use…
Yuze Lu, Jiayu Yan, Gaozhi Ou, Li Fu + 1 more
The illicit utilization of performance-enhancing substances, commonly referred to as doping, not only infringes upon the principles of fair competition within athletic pursuits but also poses significant health hazards to athletes. Doping control analysis has emerged as a conventional approach to ensuring equity and…
Rumiana Tenchov, Aparna Sapra, Janet Sasso, Krittika Ralhan + 3 more
Cancer is one of the leading causes of death worldwide. Early cancer detection is critical because it can significantly improve treatment outcome thus saving lives, reducing suffering, and lessening psychological and economic burdens. Cancer biomarkers provide varied information about cancer, from early detection of…
Paul Morris, Cory Simon
In many gas sensing tasks, we simply wish to become aware of gas compositions that deviate from normal, "business-as-usual" conditions. We provide a methodology, illustrated by example, to computationally predict the performance of a gas sensor array design for detecting anomalous gas compositions. Specifically, we…
Xinxin Wu, Zhecong Yuan, Shujie Gao, Xinai Zhang + 5 more
'Wenjie Lu' 'Xiaoli Dai' 'Rongjin Xu' 'Panagiotis Tsakanikas'] Considering the necessity of food safety testing, various biosensors have been developed based on biological elements (e.g., antibodies, aptamers), chemical elements (e.g., molecularly imprinted polymers), physical elements (e.g., nanopores) as recognition…
Zvi Yaari, Yoona Yang, Elana Apfelbaum, Alex Settle + 9 more
Conventional molecular recognition elements, such as antibodies, present issues for the development of biomolecular assays for use in point-of-care devices, implantable/wearables, and under-resourced settings. Additionally, antibody development and use, especially for highly multiplexed applications, can be slow and…
Dmitry Shalyga, Pavel Filonov, Andrey Lavrentyev
We continue to develop our neural network (NN) based forecasting approach to anomaly detection (AD) using the Secure Water Treatment (SWaT) industrial control system (ICS) testbed dataset. We propose genetic algorithms (GA) to find the best NN architecture for a given dataset, using the NAB metric to assess the quality…
Jafar Majidpour, Hiwa Hasanzadeh
modern computer networks were studied in this paper. The identification of attacks in computer networks is divided in to two categories of intrusion detection and anomaly detection in terms of the information used in the learning phase. Intrusion detection uses both routine traffic and attack traffic. Abnormal…
Veeren Chauhan, Mohamed M Elsutohy, C Patrick McClure, Will Irving + 2 more
Enteroviruses are a ubiquitous mammalian pathogen that can produce mild to life-threatening disease. Bearing this in mind, we have developed a rapid, accurate and economical point-of-care biosensor that can detect a nucleic acid sequences conserved amongst 96% of all known enteroviruses. The biosensor harnesses the…
Rui Tian
Fire accidents often cause unpredictable catastrophic losses. At present, existing fire prevention measures in public places are mostly based on the emergency treatments after the fire, which have limited protection capability when the fire spreads rapidly, especially for the flammable liquid explosion accident. Based…
Authors not listed
Localized detection of hydrogen permeation in steel membranes is crucial for practical applications but remains challenging. We present a reflective microscopy (RM) approach combined with machine learning (ML)-driven image analysis to address this issue. Hydrogen permeation in press-hardened steel alters the…
Xiangmin Shen, Zhenyuan Li, Graham Burleigh, Lingzhi Wang + 1 more
of EDR Performance in Real-World Environments Authors: ['Xiangmin Shen' 'Zhenyuan Li' 'Graham Burleigh' 'Lingzhi Wang' 'Yan Chen'] Endpoint detection and response (EDR) systems have emerged as a critical component of enterprise security solutions, effectively combating endpoint threats like APT attacks with extended…
Igor Kaltashov, Kenyon Kowalski, Ryan Sullivan, Alyssa Marsico + 1 more
Forensics has long been viewed by chemical educators as a field with great potential as far as providing inspiration for modifying chemistry laboratory curriculum and enhancing students’ learning experience at different levels. While most experiments are based on adaptation of laboratory procedures routinely used in…
Toluwase Hezekiah Fatoki
This study aimed to discover chemiluminescent analogues of luminol, understand their molecular binding to hemoglobin of bloodstains in the household crime, and the mechanism of chemiluminescence. Similarity and clustering analyses of luminol analogues were conducted, and molecular docking was carried out on hemoglobin…