Relevant bibliographies by topics / Hybrid complete/incomplete approaches

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Hybrid complete/incomplete approaches'

Author: Grafiati
Published: 6 July 2024
Last updated: 31 July 2025

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Journal articles on the topic "Hybrid complete/incomplete approaches"

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LETOMBE, FLORIAN, and JOAO MARQUES-SILVA. "HYBRID INCREMENTAL ALGORITHMS FOR BOOLEAN SATISFIABILITY." International Journal on Artificial Intelligence Tools 21, no. 06 (2012): 1250025. http://dx.doi.org/10.1142/s021821301250025x.

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Boolean Satisfiability (SAT) solvers have been successfully applied to a wide range of practical applications, including hardware model checking, software model finding, equivalence checking, and planning, among many others. SAT solvers are also the building block of more sophisticated decision procedures, including Satisfiability Modulo Theory (SMT) solvers. The large number of applications of SAT yields ever more challenging problem instances, and motivate the development of more efficient algorithms. Recent work studied hybrid approaches for SAT, which involves integrating incomplete and co
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Liu, Shihu. "NOVEL APPROACHES TO MULTI-CRITERIA DECISION MAKING WITH INCOMPLETE INFORMATION SYSTEM." COMPUSOFT: An International Journal of Advanced Computer Technology 02, no. 05 (2013): 114–20. https://doi.org/10.5281/zenodo.14594846.

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Our main work in this study is to make a detailed discussion on the multi-criteria decision making with incomplete information systems. At first, an algorithm is constructed to retrieve the missing criteria values by taking into account the local similarity as well as global similarity of each two alternatives. Then, in view of different evaluation information representation, we establish different making methods for the corresponding completed information system. By transforming interval-valued information into intuitionistic fuzzy number, the cosine similarity measure based method is introdu
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Trivellone, Valeria, Yanghui Cao, and Christopher H. Dietrich. "Comparison of Traditional and Next-Generation Approaches for Uncovering Phytoplasma Diversity, with Discovery of New Groups, Subgroups and Potential Vectors." Biology 11, no. 7 (2022): 977. http://dx.doi.org/10.3390/biology11070977.

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Despite several decades’ effort to detect and identify phytoplasmas (Mollicutes) using PCR and Sanger sequencing focusing on diseased plants, knowledge of phytoplasma biodiversity and vector associations remains highly incomplete. To improve protocols for documenting phytoplasma diversity and ecology, we used DNA extracted from phloem-feeding insects and compared traditional Sanger sequencing with a next-generation sequencing method, Anchored Hybrid Enrichment (AHE) for detecting and characterizing phytoplasmas. Among 22 of 180 leafhopper samples that initially tested positive for phytoplasmas
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Jamil, Muhammad, Farkhanda Afzal, Ali Akgül, et al. "Einstein Aggregation Operators under Bipolar Neutrosophic Environment with Applications in Multi-Criteria Decision-Making." Applied Sciences 12, no. 19 (2022): 10045. http://dx.doi.org/10.3390/app121910045.

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In this article, we introduce bipolar neutrosophic (BN) aggregation operators (AOs) as a revolutionary notion in aggregation operators (AOs) by applying Einstein operations to bipolar neutrosophic aggregation operators (AOs), with its application related to a real-life problem. The neutrosophic set is able to drawout the incomplete, inconsistent and indeterminate information pretty efficiently. Initially, we present essential definitions along with operations correlated to the neutrosophic set (NS) and its generalization, the bipolar neutrosophic set (BNS). The Einstein aggregation operators a
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Amin, Faiza, Muhammad Amber Fareed, Muhammad Sohail Zafar, Zohaib Khurshid, Paulo J. Palma, and Naresh Kumar. "Degradation and Stabilization of Resin-Dentine Interfaces in Polymeric Dental Adhesives: An Updated Review." Coatings 12, no. 8 (2022): 1094. http://dx.doi.org/10.3390/coatings12081094.

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Instability of the dentine-resin interface is owed to the partial/incomplete penetration of the resin adhesives in the collagen fibrils. However, interfacial hydrolysis of the resin-matrix hybrid layer complex activates the collagenolytic and esterase enzymes that cause the degradation of the hybrid layer. Adequate hybridization is often prevented due to the water trapped between the interfibrillar spaces of the collagen network. Cyclic fatigue rupture and denaturation of the exposed collagen fibrils have been observed on repeated application of masticatory forces. To prevent interfacial micro
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Jiang, Jiamin, and Rami M. Younis. "Hybrid Coupled Discrete-Fracture/Matrix and Multicontinuum Models for Unconventional-Reservoir Simulation." SPE Journal 21, no. 03 (2016): 1009–27. http://dx.doi.org/10.2118/178430-pa.

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Summary Unconventional reservoirs are the focus of considerable attention as a primary energy source. Numerical simulation is a core kernel of reservoir-engineering work flows for reservoir evaluation, optimization, and management. Accurate and efficient numerical simulation of unconventional reservoirs is challenging. There is substantial physical complexity involving a number of tightly coupled mechanisms in the modeling of these reservoirs. The complexity is further amplified by the multicontinuum nature of the stimulated formation, and the complex fracture networks with a wide range of fra
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Kirkbride, Ryan C., Jie Lu, Changqing Zhang, Rebecca A. Mosher, David C. Baulcombe, and Z. Jeffrey Chen. "Maternal small RNAs mediate spatial-temporal regulation of gene expression, imprinting, and seed development in Arabidopsis." Proceedings of the National Academy of Sciences 116, no. 7 (2019): 2761–66. http://dx.doi.org/10.1073/pnas.1807621116.

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Arabidopsis seed development involves maternal small interfering RNAs (siRNAs) that induce RNA-directed DNA methylation (RdDM) through the NRPD1-mediated pathway. To investigate their biological functions, we characterized siRNAs in the endosperm and seed coat that were separated by laser-capture microdissection (LCM) in reciprocal genetic crosses with an nrpd1 mutant. We also monitored the spatial-temporal activity of the NRPD1-mediated pathway on seed development using the AGO4:GFP::AGO4 (promoter:GFP::protein) reporter and promoter:GUS sensors of siRNA-mediated silencing. From these approac
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Singh, Shiv. "Building Smarter End-Of-Turn Detection for Conversational AI Using Transformer-Based Semantic Models." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47748.

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Abstract This paper presents a novel approach to end-of-turn detection for conversational AI systems, combining traditional voice activity detection (VAD) with semantic understanding through a transformer-based model. End-of-turn detection remains one of the most challenging aspects of creating natural conversational AI interfaces, as current systems rely primarily on silence thresholds that fail to capture the semantic cues humans use to determine speaking turns. Our approach leverages a lightweight transformer model based on the Gemma-3-1b architecture that analyzes transcribed speech in rea
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Davletov, F. A., K. P. Gainullina, А. М. Dmitriev, and E. V. Badamshina. "Inheritance features of productivity traits in pea hybrids F<sub>1</sub> and F<sub>2</sub>." Grain Economy of Russia, no. 3 (July 6, 2023): 21–28. http://dx.doi.org/10.31367/2079-8725-2023-86-3-21-28.

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The main reserve for improving of pea grain production is the development of new highly productive varieties. In this case, intraspecific hybridization is the main tool, but the patterns of inheritance by hybrids of several economically valuable traits are still insufficiently studied. The purpose of the current work was to establish the inheritance nature of productivity traits in pea hybrids. The trials were carried out in 2020–2022. The objects of the study were 8 pea hybrid combinations F1 and F2. The estimation of the collection and hybrid material was carried out in accordance with the M
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Ansótegui, Carlos, Felip Manyà, Jesus Ojeda, Josep M. Salvia, and Eduard Torres. "Incomplete MaxSAT approaches for combinatorial testing." Journal of Heuristics 28, no. 4 (2022): 377–431. http://dx.doi.org/10.1007/s10732-022-09495-3.

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AbstractWe present a Satisfiability (SAT)-based approach for building Mixed Covering Arrays with Constraints of minimum length, referred to as the Covering Array Number problem. This problem is central in Combinatorial Testing for the detection of system failures. In particular, we show how to apply Maximum Satisfiability (MaxSAT) technology by describing efficient encodings for different classes of complete and incomplete MaxSAT solvers to compute optimal and suboptimal solutions, respectively. Similarly, we show how to solve through MaxSAT technology a closely related problem, the Tuple Numb
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Dissertations / Theses on the topic "Hybrid complete/incomplete approaches"

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Tran, Trong Hieu. "Méthodes d'optimisation hybrides pour des problèmes de routages avec profits." Electronic Thesis or Diss., Toulouse 3, 2023. http://www.theses.fr/2023TOU30367.

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L'optimisation combinatoire est une branche de l'optimisation mathématique qui se concentre sur la recherche de solutions optimales parmi un ensemble fini de combinaisons possibles, tout en respectant un ensemble de contraintes et en maximisant ou minimisant une fonction objectif. Pour résoudre ces problèmes, les méthodes incomplètes sont souvent utilisées en pratique, car ces dernières peuvent produire rapidement des solutions de haute qualité, ce qui est un point critique dans de nombreuses applications. Dans cette thèse, nous nous intéressons au développement d'approches hybrides qui permet
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Maximin, Grégory. "Les formes organisationnelles hybrides dans le secteur des télécommunications et des nouvelles technologies." Thesis, Antilles, 2022. http://www.theses.fr/2022ANTI0734.

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Le but des travaux est de montrer par quels moyens et procédés stratégiques et organisationnels les firmes des secteurs intensifs en nouvelles technologies et en innovation font face à la spécificité des actifs et aux dynamiques propres à la mondialisation de l’économie. La Nouvelle économie institutionnelle guide nos travaux à travers l’approche de la firme utilisée qui est d’essence contractualiste et qui s’appuie sur les travaux de l’Economie des Coûts de transaction et de la Théorie des Contrats incomplets. Cependant d’autres approches de la firme sont abordées afin de pallier aux écueils
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Books on the topic "Hybrid complete/incomplete approaches"

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Zagare, Frank C., and Branislav L. Slantchev. Game Theory and Other Modeling Approaches. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190846626.013.401.

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Game theory is the science of interactive decision making. It has been used in the field of international relations (IR) for over 50 years. Almost all of the early applications of game theory in international relations drew upon the theory of zero-sum games, but the first generation of applications was also developed during the most intense period of the Cold War. The theoretical foundations for the second wave of the game theory literature in international relations were laid by a mathematician, John Nash, a co-recipient of the 1994 Nobel Prize in economics. His major achievement was to gener
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Book chapters on the topic "Hybrid complete/incomplete approaches"

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Prestwich, Steven. "The Relation Between Complete and Incomplete Search." In Hybrid Metaheuristics. Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-78295-7_3.

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Metta, Ravindra, Raveendra Kumar Medicherla, and Hrishikesh Karmarkar. "VeriFuzz: Good Seeds for Fuzzing (Competition Contribution)." In Fundamental Approaches to Software Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99429-7_20.

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AbstractWe present VeriFuzz 1.2 with two new enhancements: (1) unroll the given program to a short depth and use BMC to produce incomplete test inputs, which are extended into complete inputs, and (2) if BMC fails for this short unrolling, automatically identify the reason and rerun BMC with a corresponding remedial strategy.
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Wu, Hao, Shenghua Feng, Ting Gan, Jie Wang, Bican Xia, and Naijun Zhan. "On Completeness of SDP-Based Barrier Certificate Synthesis over Unbounded Domains." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71177-0_16.

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AbstractBarrier certificates, serving as differential invariants that witness system safety, play a crucial role in the verification of cyber-physical systems (CPS). Prevailing computational methods for synthesizing barrier certificates are based on semidefinite programming (SDP) by exploiting Putinar Positivstellensatz. Consequently, these approaches are limited by the Archimedean condition, which requires all variables to be bounded, i.e., systems are defined over bounded domains. For systems over unbounded domains, unfortunately, existing methods become incomplete and may fail to identify p
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Ehsani, Sepehr. "New Horizons in Studying the Cellular Mechanisms of Alzheimer’s Disease." In Future of Business and Finance. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99838-7_4.

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AbstractFollowing an analysis of the state of investigations and clinical outcomes in the Alzheimer’s research field, I argue that the widely accepted ‘amyloid cascade’ mechanistic explanation of Alzheimer’s disease appears to be fundamentally incomplete. In this context, I propose that a framework termed ‘principled mechanism’ (PM) can help remedy this problem. First, using a series of five ‘tests’, PM systematically compares different components of a given mechanistic explanation against a paradigmatic set of criteria and hints at various ways of making the mechanistic explanation more ‘comp
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Stoilos Giorgos and Stamou Giorgos. "Hybrid Query Answering Over OWL Ontologies." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-419-0-855.

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Query answering over OWL 2 DL ontologies is an important reasoning task for many modern applications. Unfortunately, due to its high computational complexity, OWL 2 DL systems are still not able to cope with datasets containing billions of data. Consequently, application developers often employ provably scalable systems which only support a fragment of OWL 2 DL and which are, hence, most likely incomplete for the given input. However, this notion of completeness is too coarse since it implies that there exists some query and some dataset for which these systems would miss answers. Nevertheless
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Wu, QingE, and Weidong Yang. "A Local Approach and Comparison with Other Data Mining Approaches in Software Application." In Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1884-6.ch001.

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In order to complete an online, real-time and effective aging detection to software, this paper studies a local approach that is also called a fuzzy incomplete and a statistical data mining approaches, and gives their algorithm implementation in the software system fault diagnosis. The application comparison of the two data mining approaches with four classical data mining approaches in software system fault diagnosis is discussed. The performance of each approach is evaluated from the sensitivity, specificity, accuracy rate, error classified rate, missed classified rate, and run-time. An opti
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Jurado Sergio, Mugica Francisco, Nebot Àngela, and Avellana Narcís. "Towards the Development of the Smart Grid: Fast Electricity Load Forecasting Using Different Hybrid Approaches." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2013. https://doi.org/10.3233/978-1-61499-320-9-185.

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Currently, worldwide scientific community is doing a great effort of research in the area of Smart Grids because energy production, distribution, and consumption play a critical role in the sustainability of the planet. In this context, electricity load forecasting methodologies with fast response is a key component for demand-side management and the emergence of prosumers in the electricity grid. In this research it is shown that the computational intelligence techniques presented can deal with real time forecast, cope with incomplete measurement data and forecast signals of great variability
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Loganathan, Pushparaj, and Swaminathan Shanmugan. "SILSESQUIOXANES: SYNTHESIS, REACTIVITY AND APPLICATIONS IN MATERIALS CHEMISTRY." In Futuristic Trends in Chemical Material Sciences & Nano Technology Volume 3 Book 22. Iterative International Publishers, Selfypage Developers Pvt Ltd, 2024. http://dx.doi.org/10.58532/v3becs22p2ch5.

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The study of the chemistry of silsesquioxanes comprising Si–O bonds has been primarily applied in field of inorganic silica and organosiloxane in which the repeating RSiO1.5 unit governs. Silsesquioxane has various benefits such as thermal, chemical stability and optical transparency from inorganic silica and solubility, ease of functionalization of organic groups to achieve the desired properties, ease of processing, less toxicity and biocompatibility from organosiloxanes. Silsesquioxanes are typically subdivided into two classes such as completely condensed silsesquioxanes and incompletely c
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Ghosh, Tarun Kumar, and Sanjoy Das. "Solving Job Scheduling Problem in Computational Grid Systems Using a Hybrid Algorithm." In Exploring Critical Approaches of Evolutionary Computation. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5832-3.ch015.

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Grid computing is a high performance distributed computing system that consists of different types of resources such as computing, storage, and communication. The main function of the job scheduling problem is to schedule the resource-intensive user jobs to available grid resources efficiently to achieve high system throughput and to satisfy user requirements. The job scheduling problem has become more challenging with the ever-increasing size of grid systems. The optimal job scheduling is an NP-complete problem which can easily be solved by using meta-heuristic techniques. This chapter presen
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Fletcher, Kenneth K. "A Method for Aggregating Ranked Services for Personal Preference Based Selection." In Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5357-2.ch057.

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Typically, users' service requests, which are similar with varying preferences on non-functional attributes, may result in ranked lists of services that partially meet their needs due to conflicting non-functional attributes. The resultant multiple ranked lists of services that partially satisfies the user's request makes it challenging for the user to choose an optimal service, based on his/her preference. This work proposes a method that aggregates multiple ranked lists of services into a single aggregated ranked list, where top ranked services are selected for the user. Two algorithms are p
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Conference papers on the topic "Hybrid complete/incomplete approaches"

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Argenna, Garrett, Mark Davis, Andrew Brookhart, and Ray Beale. "Development and Application of a Hybrid System for Continuous Monitoring of Aircraft Gross Weight." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-12083.

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The ability to monitor gross weight (GW) of operational rotorcraft would result in increased safety and reduced maintenance costs. Due to these potential benefits, the aerospace community has investigated a number of approaches for monitoring GW. Heretofore, each approach has had inherent strengths and weaknesses that make them incomplete solutions by themselves for rotorcraft. For this reason, Sikorsky Aircraft Corporation has developed and demonstrated a novel system referenced herein as Hybrid GW Monitoring, which leverages the strengths of several approaches while significantly mitigating
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Ghosh, Pronob K. "Complete and incomplete PMU observablity for hybrid state estimation." In 2017 International Conference on Computation of Power, Energy Information and Commuincation (ICCPEIC). IEEE, 2017. http://dx.doi.org/10.1109/iccpeic.2017.8290487.

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Odekerken, Daphne, Tuomo Lehtonen, AnneMarie Borg, Johannes P. Wallner, and Matti Järvisalo. "Argumentative Reasoning in ASPIC+ under Incomplete Information." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/52.

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Reasoning under incomplete information is an important research direction in AI argumentation. Most computational advances in this direction have so-far focused on abstract argumentation frameworks. Development of computational approaches to reasoning under incomplete information in structured formalisms remains to-date to a large extent a challenge. We address this challenge by studying the so-called stability and relevance problems---with the aim of analyzing aspects of resilience of acceptance statuses in light of new information---in the central structured formalism of ASPIC+. Focusing on
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Yang, Yang, De-Chuan Zhan, Xiang-Rong Sheng, and Yuan Jiang. "Semi-Supervised Multi-Modal Learning with Incomplete Modalities." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/416.

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In real world applications, data are often with multiple modalities. Researchers proposed the multi-modal learning approaches for integrating the information from different modalities. Most of the previous multi-modal methods assume that training examples are with complete modalities. However, due to the failures of data collection, self-deficiencies and other various reasons, multi-modal examples are usually with incomplete feature representation in real applications. In this paper, the incomplete feature representation issues in multi-modal learning are named as incomplete modalities, and we
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Tena Cucala, David J., Bernardo Cuenca Grau, and Boris Motik. "Faithful Approaches to Rule Learning." In 19th International Conference on Principles of Knowledge Representation and Reasoning {KR-2022}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/kr.2022/50.

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Rule learning involves developing machine learning models that can be applied to a set of logical facts to predict additional facts, as well as providing methods for extracting from the learned model a set of logical rules that explain symbolically the model's predictions. Existing such approaches, however, do not describe formally the relationship between the model's predictions and the derivations of the extracted rules; rather, it is often claimed without justification that the extracted rules `approximate' or `explain' the model, and rule quality is evaluated by manual inspection. In this
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Eichhoff, Julian R., Felix Baumann, and Dieter Roller. "Two Approaches to the Induction of Graph-Rewriting Rules for Function-Based Design Synthesis." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59915.

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In this paper we demonstrate and compare two complementary approaches to the automatic generation of production rules from a set of given graphs representing sample designs. The first approach generates a complete rule set from scratch by means of frequent subgraph discovery. Whereas the second approach is intended to learn additional rules that fit an existing, yet incomplete, rule set using genetic programming. Both approaches have been developed and tested in the context of an application for automated conceptual engineering design, more specifically functional decomposition. They can be co
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Suo, Qiuling, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, and Aidong Zhang. "Metric Learning on Healthcare Data with Incomplete Modalities." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/490.

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Utilizing multiple modalities to learn a good distance metric is of vital importance for various clinical applications. However, it is common that modalities are incomplete for some patients due to various technical and practical reasons in healthcare datasets. Existing metric learning methods cannot directly learn the distance metric on such data with missing modalities. Nevertheless, the incomplete data contains valuable information to characterize patient similarity and modality relationships, and they should not be ignored during the learning process. To tackle the aforementioned challenge
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Gularte, Alexander R., and Diana Francisca Adamatti. "Using DCOP to Model Resource Allocation: A Review of Algorithms." In Workshop-Escola de Sistemas de Agentes, seus Ambientes e Aplicações. Sociedade Brasileira de Computação, 2013. https://doi.org/10.5753/wesaac.2013.33199.

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Distributed Constraint Optimization Problem (DCOP) is a formalism that is widely used for coordination in multiagent systems. The advantage of applying these algorithms for multiagent coordination is due to the fact that them are distributed, robust and scalable. The aim of this work is to present a revision of the complete and incomplete algorithms, generally found in the literature and how these approaches can benefit the resource allocation in Multiagent Systems.
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Bao, Zhenshan, Yuezhang Wang, and Wenbo Zhang. "Low-Resource Named Entity Recognition without Human Annotation." In 2nd International Conference on Machine Learning Techniques and NLP (MLNLP 2021). Academy and Industry Research Collaboration Center (AIRCC), 2021. http://dx.doi.org/10.5121/csit.2021.111427.

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Most existing approaches to named entity recognition (NER) rely on a large amount of highquality annotations or a more complete specific entity lists. However, in practice, it is very expensive to obtain manually annotated data, and the list of entities that can be used is often not comprehensive. Using the entity list to automatically annotate data is a common annotation method, but the automatically annotated data is usually not perfect under low-resource conditions, including incomplete annotation data or non-annotated data. In this paper, we propose a NER system for complex data processing
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Pinto Prieto, Daira, Ronald de Haan, and Aybüke Özgün. "A Belief Model for Conflicting and Uncertain Evidence: Connecting Dempster-Shafer Theory and the Topology of Evidence." In 20th International Conference on Principles of Knowledge Representation and Reasoning {KR-2023}. International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/kr.2023/54.

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One problem to solve in the context of information fusion, decision-making, and other artificial intelligence challenges is to compute justified beliefs based on evidence. In real-life examples, this evidence may be inconsistent, incomplete, or uncertain, making the problem of evidence fusion highly non-trivial. In this paper, we propose a new model for measuring degrees of beliefs based on possibly inconsistent, incomplete, and uncertain evidence, by combining tools from Dempster-Shafer Theory and Topological Models of Evidence. Our belief model is more general than the aforementioned approac
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Reports on the topic "Hybrid complete/incomplete approaches"

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Baader, Franz, and Marcel Lippmann. Runtime Verification Using a Temporal Description Logic Revisited. Technische Universität Dresden, 2014. http://dx.doi.org/10.25368/2022.203.

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Formulae of linear temporal logic (LTL) can be used to specify (wanted or unwanted) properties of a dynamical system. In model checking, the system’s behaviour is described by a transition system, and one needs to check whether all possible traces of this transition system satisfy the formula. In runtime verification, one observes the actual system behaviour, which at any point in time yields a finite prefix of a trace. The task is then to check whether all continuations of this prefix to a trace satisfy (violate) the formula. More precisely, one wants to construct a monitor, i.e., a finite au
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Dolja, Valerian V., Amit Gal-On, and Victor Gaba. Suppression of Potyvirus Infection by a Closterovirus Protein. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580682.bard.

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The plant virus family Polyviridae is the largest and most destructive of all plant viruses. Despite the continuous effort to develop resistant plant varieties, there is a desperate need for novel approaches conferring wide-range potyvirus resistance. Based on experiments with the tobacco etch potyvirus (TEV)-derived gene expression vector, we suggested approach for screening of the candidate resistance genes. This approach relies on insertion of the genes into a virus vector and evaluation of the phenotypes of the resulting recombinant viruses. The genes which suppress infection by the recomb
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