22 papers · ranked by Valyu relevance
Yingjie Sun, Changheng Li, Xiaofei Deng, Wenjie Li + 7 more
Identifying target proteins for bioactive molecules is essential for understanding their mechanisms, developing improved derivatives, and minimizing off-target effects. Despite advances in target identification (target-ID) technologies, significant challenges remain, impeding drug development. Most target-ID methods…
Yu Kawamata, Keun Ah Ryu, Gary Hermann, Alexander Sandahl + 8 more
Target identification is a critical pillar within the drug discovery process that involves deconvoluting the protein target of a pharmacologically active small molecule ligand. While photoaffinity labeling strategies have become the benchmark for target deconvolution of small molecules owing to their reliance on…
Howell Leung, Chengchen Duan, Wenhao Gou, Jianjiu Chen + 10 more
Target identification is crucial for drug development. AI-driven approaches leveraging multi-omics and computational modeling can accelerate this process. However, integrating multi-modal data for disease-specific target identification and predicting translational potential remains challenging. Moreover, the absence of…
Zayd Hammoudeh, Daniel Lowd
Targeted training-set attacks inject malicious instances into the training set to cause a trained model to mislabel one or more specific test instances. This work proposes the task of target identification, which determines whether a specific test instance is the target of a training-set attack. Target identification…
Chunshan Ding, Chunguo Li, Wei Yi, Xiansheng Guo + 1 more
The optimization objective function of sensor management for target identification is commonly established based on information theory indicators such as information gain, discrimination, discrimination gain, and quadratic entropy, which can control the sensors to reduce the overall uncertainty of all targets to be…
Abigail Basener, Meagan Herald
Real-time or near real-time hyperspectral detection and identification are extremely useful and needed in many fields. These data sets can be quite large, and the algorithms can require numerous computations that slow the process down. A common way of speeding up the process is to use principal component analysis (PCA)…
Saba Charmi Motlagh, Marc Joanisse, Boyu Wang, Yalda Mohsenzadeh
Our brain excels at recognizing objects, even when they flash by in a rapid sequence. However, the neural processes determining whether a target image in a rapid sequence can be recognized or not remained elusive. We used electroencephalography (EEG) to investigate the temporal dynamics of brain processes that shape…
Tenzing Thiley Bhutia, Subash Kumaraguru, Devaprakash Muniraj
Timely classification and intent prediction of aerial targets is crucial for a combat aircraft to make informed tactical decisions. The prevailing approach for aerial target classification relies on data-driven models using time-series data. These models perform well with long-duration data; however, this is…
Yiyun Hu, Wenjuan Ren, Yixin Zuo, Zhanpeng Yang + 1 more
Multi-satellite sequential detection is crucial for maritime target identification and tracking. However, inherent satellite revisit patterns and maritime target motion often result in fragmented track segments, necessitating effective multi-satellite track association to ensure continuity. Existing methods…
Decheng Liu, Jiahao Yu, Ruimin Hu, Wenbin Feng
Identity tracing is a technology that uses the selection and collection of identity attributes of the object to be tested to discover its true identity, and it is one of the most important foundational issues in the field of social security prevention. However, traditional identity recognition technologies based on…
Shanshan Zhao, Minju Yi, Ziwei Liu, Lan Lan + 3 more
'Yimin Liu'] A distributed multiple-radar system has natural advantages in anti-deception jamming. However, most of the anti-jamming methods are proposed in full spatial registration. In practice, the registration error is difficult to eliminate, which will seriously degrade the performance of cooperative anti-jamming.…
Bo Gao, Jianzhong Chen, Bo Huang, Geng Yang + 1 more
The rapid development of Internet of Things technologies has accelerated the deployment of smart home systems. However, perception solutions based on visual sensors remain constrained by illumination sensitivity, occlusion, and privacy concerns. Frequency-modulated continuous-wave (FMCW) millimeter-wave radar provides…
Hanbao Wu, Wei Chen, Weiming Chen, Sergio Toral Marín
Accurate group target association is essential for multi-sensor multi-target tracking, particularly in heterogeneous radar systems where systematic biases, asynchronous observations, and dense formations frequently cause ambiguous or incorrect associations. Existing approaches often rely on strict spatial assumptions…
Fei Teng, Yafei Song, Gang Wang, Peng Zhang + 2 more
'Zongteng Zhang'] Since a target's operational intention in air combat is realized by a series of tactical maneuvers, its state presents the characteristics of temporal and dynamic changes. Depending only on a single moment to take inference, the traditional combat intention recognition method is neither scientific nor…
Daniela Pöhn, Wolfgang Hommel
Identity management refers to the technology and policies for the identification, authentication, and authorization of users in computer networks. Identity management is therefore fundamental to today's IT ecosystem. At the same time, identity management systems, where digital identities are managed, pose an attractive…
Shih‐Ting Huang, Johannes Lederer
Deep learning systems are typically designed to perform for a wide range of test inputs. For example, deep learning systems in autonomous cars are supposed to deal with traffic situations for which they were not specifically trained. In general, the ability to cope with a broad spectrum of unseen test inputs is called…
Brad Evans, Lai Yeung, Armen Beck, Annie Li + 3 more
The growth of therapeutic monoclonal antibodies continues to accelerate due to their success as treatments for many diseases. As new therapeutics are developed, it is increasingly important to have robust bioanalytical methods to measure the pharmacokinetics of the circulating therapeutic monoclonal antibodies (mAbs)…
Vladimir Shalgunov, Sara Irence Lopes van den Broek, Ida Vang Andersen, Rocío García Vázquez + 12 more
Vladimir Shalgunov 1 , Sara Lopes van den Broek 1 , Ida Vang Andersen 1 , Rocío García Vázquez 1 , Nakul Raval 1 , Mikael Palner 1 , Yuki Mori 1 , Gabriela Schäfer 2 , Hannes Mikula 3 , Natalie Beschorner 1 , Maiken Nedergaard 1 , Stina Syvänen 4 , Matthias Barz 2 , Gitte Moos Knudsen 1 , Umberto Maria Battisti 1 …
Amin Ghaffari, Yufei Zhao, Xu Chen, Jason Langley + 1 more
Resting-state functional connectivity (FC) have distinct, personalized patterns that could serve as a unique fingerprint of each individual’s brain. While previous brain fingerprinting methods have used functional connectivity maps over a scanning session (static method), it has been shown that the brain is a dynamic…
Daryl Wilding-McBride, Andrew I. Webb
Identification of peptides by analysis of data acquired by the two established methods for bottom-up proteomics, DDA and DIA, relies heavily on the fragment spectra. In DDA, peptide features detected in mass spectrometry data are identified by matching their fragment spectra with a peptide database. In DIA, a peptide’s…
Hunter Dlugas, Xiang Zhang, Seongho Kim
In mass spectrometry (MS)-based metabolomics, compound identification relies on Liquid Chromatography-MS (LC-MS) and Gas Chromatography-MS (GC-MS). The most popular and efficient approach for this purpose is the comparison of similarity scores between experimental spectra and reference spectra. Among the various single…
Michael Lanzillotti, Jennifer Brodbelt
Recent progress in top-down mass spectrometry analysis of progressively larger nucleic acids has enabled in-depth characterization of intact, modified RNA molecules. Development of methods for desalting and MS/MS fragmentation allows rapid acquisition of high-quality top-down MS/MS spectra of nucleic acids up to 100…