Detecting genetic interactions with visible neural networks by Arno van Hilten, Federico Melograna, Bowen Fan, Wiro Niessen, Kristel van Steen, Gennady Roshchupkin

“…Neural networks are state-of-the-art predictors in many domains due to their ability to analyze big data and model complex patterns, including non-linear interactions. In genetics, visible neural networks are popular as they provide insight into the most important SNPs, genes, and pathways for prediction. …”
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Empirical Evaluation of the Relative Range for Detecting Outliers by Dania Dallah, Hana Sulieman, Ayman Al Zaatreh, Firuz Kamalov

“…Outlier detection plays a key role in data analysis by improving data quality, uncovering data entry errors, and spotting unusual patterns, such as fraudulent activities. …”
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A paradigm shift in the detection of bloodborne pathogens by Sonali Khanal, Manjusha Pillai, Deblina Biswas, Muhammad Torequl Islam, Rachna Verma, Kamil Kuca, Dinesh Kumar, Asim Najmi, Khalid Zoghebi, Asaad Khalid, Syam Mohan

“…The objective is to increase the amount of knowledge that is available regarding bloodborne infections as well as effective strategies for their management and detection. This review provides a thorough overview of common bloodborne infections, including their patterns of transmission, and detection techniques.…”
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An approach to malignant mammary phyllodes tumors detection by Ilić Ivan, Ranđelović Pavle, Ilić Ratko, Katić Vuka, Milentijević Maja, Veličković Ljubinka, Krstić Miljan

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Scent detection dogs detect a species of hard tick, Dermacentor albipictus, with comparable accuracy and efficiency to traditional tick drag surveys by Troy Koser, Aimee Hurt, Laura Thompson, Alyson Courtemanch, Benjamin Wise, Paul Cross

“…Methods We used a series of indoor and in situ training simulations to teach scent detection dogs to recognize D. albipictus scent, distinguish tick scent from associated vegetation, and develop a cautious search pattern. …”
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Layer-Wise Query Selection to Eliminate Redundant Queries in DETR by Seok-Jin Hong, Chan-Young Choi, Sang-Woong Lee

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A fear detection method based on palpebral fissure by Rawinan Praditsangthong, Bhattarasiri Slakkham, Pattarasinee Bhattarakosol

“…This research aims to study the patterns in human faces and identify the areas of interest (AOI), which is called Facial Landmark Detection (FLD). …”
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Detection and discrimination of modulation type at low modulation rates by A. P. SĘK

“…Stimuli were presented in quiet or with a band of noise chosen to mask the low- or high-frequency side of the excitation pattern produced by a modulated signal. In AM case d' markedly depended on the presence of a noise that masked the high-frequency part of the excitation pattern. …”
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Narrow band imaging in detection of early laryngeal malignancy by Bharathi Mohan M, Leena Rajam, Vikram V J, Sathya Narayanan N, Ashwin P

“…NBI recently demonstrated increased specificity (87–92%) and sensitivity (61–91%) in early detection of laryngeal malignancy. In this study, we aim to determine the effectiveness and limitation of narrow-band imaging in detecting laryngeal malignancy and determine the extent of resection margin in case of excision biopsy in suspicious mucosal lesions of the larynx. …”
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4KSecure: A Universal Method for Active Manipulation Detection in Images of Any Resolution by Paweł Duszejko, Zbigniew Piotrowski

“…The proposed solution utilizes two cooperating networks: the first one is responsible for generating a signature pattern that is difficult to detect, while the second one embeds this signature into the original image in a way that ensures high visual transparency. …”
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Worm detection and signature extraction based on communication characteristics by XIN Yi1, FANG Bin-xing1, HE Long-tao2, YUN Xiao-chun2, LI Zhi-dong1

“…Worm detection and signature extraction was presented based on analysis of similar communication character-istics,which identifies the distinct communication pattern of worm spread,and evaluates the similarity metric of commu-nication characteristic sets,and detects worms by detecting their infectivity with higher detection precision,generality and adaptability.Based on this,a heuristic detection framework is designed,which eliminates non-worm traffic from protocol,sequence,and content in three levels via blind,intent and lock track,then filters out worm packets and extracts signatures.The technique reduces data collection volume and analysis cost dramatically,and can detection worm and ex-tract signature quickly in the environment with high strength background noise.…”
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Detecting deception in movement: the case of the side-step in rugby. by Sébastien Brault, Benoit Bideau, Richard Kulpa, Cathy M Craig

“…Although coordinated patterns of body movement can be used to communicate action intention, they can also be used to deceive. …”
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An Improved YOLOv5 Model for Lithographic Hotspot Detection by Mu Lin, Wenjing He, Jiale Liu, Fencheng Li, Jun Luo, Yijiang Shen

“…The gap between the ever-shrinking feature size of integrated circuits and lithographic manufacturing ability is causing unwanted shape deformations of printed layout patterns. The deformation region with problematic imaging, known as a hotspot (HS), should be detected and corrected before mask manufacturing. …”
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Reliable and Sensitive Detection of Carbonylated Proteins by Oxime Blot by Filip Mikulić, Viktor Merćep, Marcela Finek, Mladen Merćep

“…However, when used to detect protein carbonylation by western blotting, this method suffers from diminished sensitivity, distortion of protein migration patterns, and unsatisfactory representation of low-abundance proteins. …”
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Detecting spatial and temporal house price diffusion in the Netherlands by Alfred Larm Teye, Daniel Felix Ahelegbey

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Serendipitous Detection of Cervical Nodal Metastasis in Glomus Jugulare by Shruti Venkitachalam, Rayappa Chinnusamy, Narendranath Ashok, Swatee Vasant Halbe

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ANALYTICS AND DATA SCIENCE APPLIED TO THE TRAJECTORY OUTLIER DETECTION by Alexis J. LOPEZ, Perfecto M. QUINTERO, Ana K. HERNANDEZ

“…This paper aims to develop a module that allows the processing, analysis and deployment of satellite information oriented to the pattern analysis, to find anomalies in the paths of the operators by implementing the algorithm TODS, to be able to help in the decision making. …”
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Clustering and Detecting Network Intrusion Based on Fuzzy Algorithms by Manar Kashmola, Bayda Khaleel

“…Clustering or (cluster analysis ) has been widely used in data analysis and pattern recognition. There are several algorithms for clustering large data sets or streaming data sets, Their aims to organize a collection of data items into clusters. …”
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Narrowband Theta Investigations for Detecting Cognitive Mental Load by Silviu Ionita, Daniela Andreea Coman

“…The results present EEG activity during mental tasks and show the behavioral pattern across 64 channels. The most precise and specific EEG channels for discriminating cognitive tasks induced by arithmetic tests are also identified.…”
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Deviance detection and regularity sensitivity in dissociated neuronal cultures by Zhuo Zhang, Amit Yaron, Dai Akita, Tomoyo Isoguchi Shiramatsu, Zenas C. Chao, Hirokazu Takahashi, Hirokazu Takahashi

“…Crucially, we also showed sensitivity to the statistical regularity of stimuli, a phenomenon previously observed only in intact brains: the MMRs in a predictable, periodic sequence were smaller than those in a commonly used sequence in which the appearance of the deviant stimulus was random and unpredictable.DiscussionThese results challenge the traditional view that a hierarchically structured neural network is required to process complex temporal patterns, suggesting instead that deviant detection and regularity sensitivity are inherent properties arising from the primitive neural network. …”
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