24 papers · ranked by Valyu relevance
Xiao Chen, Yutong Wang, Nan Ma, Jing Tian + 6 more
Natural products are an important source of new drugs for the treatment of various diseases. However, developing natural product-based new medicines through random moiety modification is a lengthy and costly process, due in part to the difficulties associated with comprehensively understanding the mechanism of action…
Aaron D. Trowbridge, Ciaran P. Seath, Frances P. Rodriguez-Rivera, Beryl X. Li + 12 more
The identification of cellular targets that can be exploited for therapeutic benefit, broadly known as target ID, remains a fundamental goal in drug discovery. In recent years, the application of new chemical and biological technologies that accelerate target ID has become commonplace within drug discovery programs, as…
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…
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…
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…
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…
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…
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)…
Noam Roth, Nicole C. Rust
Finding a sought visual target object requires combining visual information about a scene with a remembered representation of the target to create a “target match” signal that indicates when a target is in view. Target match signals have been reported to exist within high-level visual brain areas including…
Noam Roth, Nicole C. Rust
Searching for a specific visual object requires our brain to compare the items in view with a remembered representation of the sought target to determine whether a target match is present. This comparison is thought to be implemented, in part, via the combination of top-down modulations reflecting target identity with…
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…
Gaiyou Li, Ping Wei, Giorgio Battistelli, Luigi Chisci + 1 more
This paper focuses on joint detection, tracking and classification (JDTC) of a target via multi-sensor fusion. The target can be present or not, can belong to different classes, and depending on its class can behave according to different kinematic modes. Accordingly, it is modeled as a suitably extended Bernoulli…
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…
Manisha J. Nene, Souham Biswas
In any tactical scenario, the successful quantification and triangulation of potential hostile elements is instrumental to minimize any casualties which might be incurred. The most commonly deployed infrastructures to cater to this have mostly been surveillance systems which only extract some data pertaining to the…
Hamid Karimi-Rouzbahani, Ehsan Vahab, Reza Ebrahimpour, Mohammad Bagher Menhaj
To recognize a target object, the brain implements strategies which involve a combination of externally sensory-driven and internally task-driven mechanisms. While several studies have suggested a role for frontal brain areas in enhancing task-related representations in visual cortices, especially the lateral-occipital…
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…
Souham Biswas, Manisha J. Nene
—In the recent years, the problem of identifying suspicious behavior has gained importance and identifying this behavior using computational systems and autonomous algorithms is highly desirable in a tactical scenario. So far, the solutions have been primarily manual which elicit human observation of entities to…
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 …
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…
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)…
Jonathan Fine, Anand Rasjashekar, Gaurav Chopra
We present a deep learning method for identifying all the functional groups of unknown compounds using a combination of FTIR and MS spectra without the use of any database, pre-established rules, procedures, or peak-matching methods. We derive patterns and correlations directly from spectral data representing multiple…
Authors not listed
Mass spectrometry-based natural products targeted discovery often relies on a complicated decision-making process involving tedious comparison of exact masses data and tandem mass spectra-based annotation tools output against various spectral reference libraries. To address this bottleneck, we present tandem mass…