Portable cotton swab biosensor for rapid naked-eye detection of Helicobacter pylori by Ghadeer.A.R.Y. Suaifan, Asmaa Alnajajrah, Ward Abu Jbara, Amr A. El-Mousa, Fahid Abu Jbara, Doha A.I. Al-Omari, Mayadah B. Shehadeh

“…The assay enables direct, naked-eye detection without the need for amplification steps or specialized instrumentation. …”
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Empowering Quality of Recommendations by Integrating Matrix Factorization Approaches With Louvain Community Detection by Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Ashu Abdul, Jenhui Chen

“…Owing to the expanding size of the dataset and as the complexity increases, there arises an issue in delivering accurate recommendations to the users. The efficient functioning of the recommendation system undergoes the scalability challenge in controlling large and varying datasets. …”
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Fast Reflectance Spectral Profile Reconstruction Method for Full-waveform Hyperspectral LiDAR by Hui SHAO, Hulong ZHANG, Hui DAI, Yuwei CHEN, Long SUN, Heng XU, Xingyun LI

“…A skew-normal Gaussian function is then employed to fit the transmitting and echo signals of the HSL full waveform. …”
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Comparison of Machine Learning and Statistical Approaches of Detecting Anomalies Using a Simulation Study by Klaudia Lenart

“…Aim: An anomaly is an observation or a group of observations that is unusual for a given dataset. Anomaly detection has many applications, not only as a step of data preparation but also, for example, as a way of identifying credit card fraud detection, network intrusions and much more. …”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…This study presents an automated system that leverages CCTV footage to detect dead chickens, utilizing a two-step approach to improve detection accuracy and efficiency. …”
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Multi-Scenario Remote Sensing Image Forgery Detection Based on Transformer and Model Fusion by Jinmiao Zhao, Zelin Shi, Chuang Yu, Yunpeng Liu

“…Recently, remote sensing image forgery detection has received widespread attention. To improve the detection accuracy, we build a novel scheme based on Transformer and model fusion. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…The model employs Rectified Linear Unit (ReLU) activation functions, the Adam optimizer, and a random search strategy to fine-tune hyper-parameters like learning rate, batch size, and the number of neurons in fully connected layers. …”
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Carbon dot-assisted synthesis of gold nanoparticles for the development of a detection platform for trichlorfon by Pramila Murugesan, J.A. Moses

“…Owing to their unique physicochemical features, gold nanoparticles (AuNPs) stand out as an excellent platform for analyte detection with appreciable accuracy. In this study, a low-cost precursor material was used to synthesize hydrophilic functional groups containing carbon dots (CD) and then used as a stabilizing and reducing agent for synthesizing AuNPs via a one-step process. …”
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Optical fiber sensor based on Lossy-mode resonance for tamoxifen detection and sensing applications by Fardin Sadeghfar, Roghaieh Parvizi, Moladad Nikbakht

“…Abstract In this study, we report a novel, eco-friendly optical fiber biosensor for tamoxifen (TAM) detection, featuring a single functional layer of cerium dioxide (CeO2) nanoparticles integrated with a molecularly imprinted polymer (MIP). …”
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Automatic detection of human gait events: a simple but versatile 3D algorithm by Théo Vancanneyt, Camille Le Moal, Maxence Blard, Juliette Lenoir, Nicolas Roche, Céline Bonnyaud, Fabien Dubois

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Strain elastography for detecting advanced Fontan-associated liver disease: a retrospective study by Koji Imoto, Takeshi Goya, Yuki Azuma, Tomonobu Hioki, Tomomi Aoyagi, Hazumu Nagata, Akiko Nishizaki, Takamori Kakino, Ayako Ishikita, Kenichiro Yamamura, Ichiro Sakamoto, Masatake Tanaka, Kohtaro Abe, Yoshihiro Ogawa

“…Abstract Background The Fontan procedure has improved the prognosis of patients with a functional single ventricle; however, late complications—including Fontan-associated liver disease (FALD)—have surfaced as clinical concerns. …”
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CMCD: A Consistency Model-Based Change Detection Method for Remote Sensing Images by Xiongjie Li, Weiying Xie, Jiaqing Zhang, Yunsong Li

“…To address these challenges, we propose a novel consistency model-based change detection method (CMCD), which directly generates high-quality change detection maps in one or a few steps. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…Hence, it is essential to detect the presence of spam bots on Twitter. In order to detect spam bots on Twitter, an effective feature selection technique using a novel hybrid deep learning model is introduced in this paper. …”
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Automated Allergen Sample Preparation and Detection via Centrifugal Microfluidic Lateral Flow Assay by Bastian Breiner, Daniel M. Kainz, Stefan Wagner, Maxime Gavage, Serhat Sahakalkan, Riccardo Marega, Felix von Stetten, Anna Klebes

“…Overall, this system aims to aid in food allergen detection with high sensitivity and minimized manual steps.…”
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Green One-Step Synthesis and Characterization of Fluorescent Carbon Quantum Dots from PET Waste as a Dual-Mode Sensing Probe for Pd(II), Ciprofloxacin, and Fluoxetine via Fluoresce... by Christian Ebere Enyoh, Qingyue Wang, Weiqian Wang, Miho Suzuki, Go Masuda, Daisuke Nakajima, Senlin Lu

“…In this study, we report a green, one-step synthesis of fluorescent carbon quantum dots (PET-FCQDs) derived from polyethylene terephthalate (PET) waste using an environmentally friendly pyrolytic method. …”
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Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…Accurate single-neuron morphology reconstruction is essential for understanding brain structure and function. A critical step in this process is the detection of somas in 3D brain images, which remains a challenge due to the complex structure of the brain and the large amount of whole brain imaging data [1]. …”
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Harmonic Detection Algorithm for Traction Power Supply System Based on ICEEMDAN and Teager Energy Operator by XIE Zeen

“…The first step is to process the signal to be detected into a set of intrinsic mode function (IMF) components through ICEEMDAN, and then obtain the true IMF components by filtering out the false ones. …”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The Internet of Things enables the remote sensing, identification, and control of physical things via the utilisation of existing network infrastructure. By using this function, it becomes feasible to integrate elements of the physical world into computerised systems, resulting in enhanced levels of efficiency, precision, and financial profitability. …”
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Detecting non-neutral modules in species co-occurrence data: principles and application to plant communities by Fabien Laroche, Bodil Ehlers

“…We tested our framework on virtual data and successfully retrieved pre-defined functional groups without generating false positive detections. …”
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Harnessing Deep Learning With AlexNet for Tomato Leaf Disease Detection in the Indian Himalayan Terrain by Ruchika Sharma, Sameena Naaz, Pankaj Vaidya

“…This model combines steps such as tomato leaf image data collection, image data preprocessing, and classification and detection of disease. …”
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