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Journal articles on the topic 'PATH Framework'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Tedijanto, T. E., R. O. Onvural, D. C. Verma, L. Gun, and R. A. Guerin. "NBBS path selection framework." IBM Systems Journal 34, no. 4 (1995): 629–39. http://dx.doi.org/10.1147/sj.344.0629.

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2

Toxqui, Martínez, Rodríguez, et al. "Mexico Silent Film Festival's Journey of Cultural Resistance: Tracing a Path of Community Survival." Framework: The Journal of Cinema and Media 62, no. 2 (2021): 263. http://dx.doi.org/10.13110/framework.62.2.0263.

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3

Yeryomin, Yevgeniy, and Joc Hen Seitz. "Framework for Flexible Multi-Metric Path Selection for Next Generation Network." Journal of Advances in Computer Networks 3, no. 1 (2015): 42–48. http://dx.doi.org/10.7763/jacn.2015.v3.140.

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4

Prekas, Stelios, Panagiotis Karkazis, and Panagiotis Trakadas. "An Energy-Aware Path Enumeration Solution Based on the Path Algebra Framework." IT Professional 25, no. 4 (2023): 29–35. http://dx.doi.org/10.1109/mitp.2023.3296060.

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Suguna, A. B., and B. S. Thabasukannan. "Analytical Framework for Path Reliability and Load Balancing in Mobile Adhoc Networks." Bonfring International Journal of Research in Communication Engineering 5, no. 1 (2015): 01–06. http://dx.doi.org/10.9756/bijrce.7005.

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6

Zhao, Yanjiao, Lin Wu, Xinxin Wang, and Yongfa Chen. "Drug Safety Governance: Framework and Development Path." Journal of Service Science and Management 14, no. 06 (2021): 541–56. http://dx.doi.org/10.4236/jssm.2021.146034.

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7

Luo, Chih Ming, and Hung Fan Chang. "Innovative framework of AS/RS path planning." International Journal of Innovation and Learning 7, no. 1 (2010): 51. http://dx.doi.org/10.1504/ijil.2010.029473.

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Tran-Dinh, Quoc, Anastasios Kyrillidis, and Volkan Cevher. "A Single-Phase, Proximal Path-Following Framework." Mathematics of Operations Research 43, no. 4 (2018): 1326–47. http://dx.doi.org/10.1287/moor.2017.0907.

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CÁRDENAS, V., S. LEPE, and J. SAAVEDRA. "CURRENT ALGEBRA IN THE PATH INTEGRAL FRAMEWORK." Modern Physics Letters A 13, no. 27 (1998): 2193–98. http://dx.doi.org/10.1142/s0217732398002333.

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In this letter we describe an approach to the current algebra based on the path integral formalism. We use this method for Abelian and non-Abelian quantum field theories in (1+1) and (2+1) dimensions and the correct expressions are obtained. Our results show the independence of the regularization of the current algebras.

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JOLICŒUR, TH, and J. C. LE GUILLOU. "ABELIAN BOSONIZATION IN A PATH INTEGRAL FRAMEWORK." International Journal of Modern Physics A 08, no. 11 (1993): 1923–31. http://dx.doi.org/10.1142/s0217751x93000801.

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We investigate the Abelian bosonization procedure in the light of a path integral formulation. The correlation functions of the Bose and Fermi fields are directly related by use of several changes of variables including chiral rotations à la Fujikawa. Operator identities are replaced by statements on partition functions with suitably defined sources. The Thirring and sine–Gordon models as well as the Schwinger model are treated. We also discuss a generalized Thirring model.

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Shaharir, b. M. Z. "New framework for the Feynman path integral." International Journal of Theoretical Physics 25, no. 10 (1986): 1075–94. http://dx.doi.org/10.1007/bf00671684.

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12

Bourouaine, S., and A. Benslama. "Noncommutative quantum electrodynamics in path integral framework." Journal of Physics A: Mathematical and General 38, no. 33 (2005): 7389–97. http://dx.doi.org/10.1088/0305-4470/38/33/012.

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13

Vaidya, A., C. Farina, and M. Hott. "Furry’s picture in the path integral framework." Il Nuovo Cimento A 105, no. 7 (1992): 925–34. http://dx.doi.org/10.1007/bf02730833.

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CHATTERJEE, SAIKAT, AMITABHA LAHIRI, and AMBAR N. SENGUPTA. "PARALLEL TRANSPORT OVER PATH SPACES." Reviews in Mathematical Physics 22, no. 09 (2010): 1033–59. http://dx.doi.org/10.1142/s0129055x10004156.

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We develop a differential geometric framework for parallel transport over path spaces and a corresponding discrete theory, an integrated version of the continuum theory, using a category-theoretic framework.

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15

Lee, Lisa M. "Public Health Ethics Theory: Review and Path to Convergence." Journal of Law, Medicine & Ethics 40, no. 1 (2012): 85–98. http://dx.doi.org/10.1111/j.1748-720x.2012.00648.x.

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For over 100 years, the field of contemporary public health has existed to improve the health of communities and populations. As public health practitioners conduct their work – be it focused on preventing transmission of infectious diseases, or prevention of injury, or prevention of and cures for chronic conditions – ethical dimensions arise. Borrowing heavily from the ethical tools developed for research ethics and bioethics, the nascent field of public health ethics soon began to feel the limits of the clinical model and began creating different frameworks to guide its ethical challenges. S

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16

Arokiasami, Willson Amalraj, Prahlad Vadakkepat, Kay Chen Tan, and Dipti Srinivasan. "Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework." Unmanned Systems 06, no. 04 (2018): 231–50. http://dx.doi.org/10.1142/s2301385018500061.

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Autonomous unmanned vehicles are preferable in patrolling, surveillance and, search and rescue missions. Multi-agent architectures are commonly used for autonomous control of unmanned vehicles. Existing multi-robot architectures for unmanned aerial and ground robots are generally mission and platform oriented. Collision avoidance, path-planning and tracking are some of the fundamental requirements for autonomous operation of unmanned robots. Though aerial and ground vehicles operate differently, the algorithms for obstacle avoidance, path-planning and path-tracking can be generalized. Service

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He, Guofeng, Yichen Xin, Xiuchuan Cheng, and Guangqiang Yin. "AFL++: A Vulnerability Discovery and Reproduction Framework." Electronics 13, no. 5 (2024): 912. http://dx.doi.org/10.3390/electronics13050912.

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Directed greybox fuzzing can mainly be used for vulnerability mining and vulnerability replication. However, there are still some issues with existing directional fuzzing tools. One is that after providing problematic changes or patches, it is not possible to quickly target and discover the problem. Secondly, it is difficult to break through the magic byte path, making it difficult to mine deep vulnerabilities. This article proposes a new vulnerability mining and repair framework: American Fuzz Lop Plus (AFL++). Firstly, we utilize alias analysis to enhance inter-procedural control flow graphs

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18

Yang, Tao, Xintong Du, Bo Zhang, Xu Wang, Zhenpeng Zhang, and Chundu Wu. "Coverage Path Planning Based on Region Segmentation and Path Orientation Optimization." Agriculture 15, no. 14 (2025): 1479. https://doi.org/10.3390/agriculture15141479.

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To address the operational demands of irregular farmland with fixed obstacles, this study proposes a full-coverage path planning framework that integrates UAV-based 3D perception and angle-adaptive optimization. First, digital orthophoto maps (DOMs) and digital elevation models (DEMs) were reconstructed from low-altitude aerial imagery. The feasible working region was constructed by shrinking field boundaries inward and dilating obstacle boundaries outward. This ensured sufficient safety margins for machinery operation. Next, segmentation angles were scanned from 0° to 180° to minimize the num

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Dahan, Gal, Itay Tabib, Eyal Solomon Shimony, and Ariel Felner. "Generalized Longest Path Problems." Proceedings of the International Symposium on Combinatorial Search 15, no. 1 (2022): 56–64. http://dx.doi.org/10.1609/socs.v15i1.21752.

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The longest simple path and snake-in-a-box are combinatorial search problems of considerable research interest. We create a common framework of longest constrained path in a graph that contains these two problems, as well as other interesting maximum path problems, as special cases. We analyze properties of this general framework, produce bounds on the path length that can be used as admissible heuristics for all problem types therein. For the special cases of longest simple path and snakes, these heuristics are shown to reduce the number of expansions when searching for a maximal path, which

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20

Yongliang, Lin. "Bri cooperation system: General framework and development path." Napredak 2, no. 2 (2021): 49–60. http://dx.doi.org/10.5937/napredak2-32686.

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Since the Belt and Road Initiative was brought up in 2013, a wide variety of mechanisms and platforms under its framework have sprung up, which actively led the initiative to a deeper and more practical fashion. OECD, WEF and other mechanisms and platforms with long-accumulated experience can inspire the initiative in building its cooperation system. In order to promote the system, we need to highlight the leading, professional, practical, popularity and justice-based characteristics of those mechanisms and platforms, to connect with which advanced ideas and institutions should be integrated d

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21

Gamboa Saraví, R. E., F. A. Schaposnik, and J. E. Solomin. "Current-algebra results in the path-integral framework." Physical Review D 33, no. 12 (1986): 3762–70. http://dx.doi.org/10.1103/physrevd.33.3762.

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22

Botelho, Luiz C. L. "String wave equations in Polyakov’s path integral framework." Journal of Mathematical Physics 30, no. 9 (1989): 2160–67. http://dx.doi.org/10.1063/1.528219.

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23

Žlajpah, Leon, and Tadej Petrič. "Unified Virtual Guides Framework for Path Tracking Tasks." Robotica 38, no. 10 (2019): 1807–23. http://dx.doi.org/10.1017/s0263574719000973.

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SUMMARYIn this paper, we propose a novel unified framework for virtual guides. The human–robot interaction is based on a virtual robot, which is controlled by the admittance control. The unified framework combines virtual guides, control of the dynamic behavior, and path tracking. Different virtual guides and active constraints can be realized by using dead-zones in the position part of the admittance controller. The proposed algorithm can act in a changing task space and allows selection of the tasks-space and redundant degrees-of-freedom during the task execution. The admittance control algo

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24

Grahne, Gösta, Alex Thomo, and William W. Wadge. "Preferential Regular Path Queries." Fundamenta Informaticae 89, no. 2-3 (2008): 259–88. https://doi.org/10.3233/fun-2008-892-304.

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In this paper, we introduce preferential regular path queries. These are regular path queries whose symbols are annotated with preference weights for "scaling" up or down the intrinsic importance of matching a symbol against a (semistructured) database edge label. Annotated regular path queries are expressed syntactically as annotated regular expressions. We interpret these expressions in a uniform semiring framework, which allows different semantic interpretations for the same syntactic annotations. For our preference queries, we study three important aspects: (1) (progressive) query answerin

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25

Shi, W., D. B. Tang, and P. Zou. "Multi-objective automated guided vehicle scheduling based on MapReduce framework." Advances in Production Engineering & Management 16, no. 1 (2021): 37–46. http://dx.doi.org/10.14743/apem2021.1.383.

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During material handling processes, automated guided vehicles (AGVs) pose a path conflict problem. To solve this problem, we proposed a multi-objective scheduling model based on total driving distance and waiting time, and used the A* path planning algorithm to search the shortest path of AGV. By using a speed control strategy, we were able to detect the overlap path and the conflict time. Additionally, we adopted an efficient MapReduce framework to improve the speed control strategy execution efficiency. At last, a material handling system of smart electrical connectors workshop was discussed

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26

Biswas, Sumana, Sreenatha G. Anavatti, and Matthew A. Garratt. "A Time-Efficient Co-Operative Path Planning Model Combined with Task Assignment for Multi-Agent Systems." Robotics 8, no. 2 (2019): 35. http://dx.doi.org/10.3390/robotics8020035.

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Dealing with uncertainties along with high-efficiency planning for task assignment problem is still challenging, especially for multi-agent systems. In this paper, two frameworks—Compromise View model and the Nearest-Neighbour Search model—are analyzed and compared for co-operative path planning combined with task assignment of a multi-agent system in dynamic environments. Both frameworks are capable of dynamically controlling a number of autonomous agents to accomplish multiple tasks at different locations. Furthermore, these two models are capable of dealing with dynamically changing environ

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27

Qureshi, Muhammad Aasim, Mohd Fadzil Hassan, Sohail Safdar, and Rehan Akbar. "A Framework to Recover Single Link Failure on Shortest Path in Shortest Path Tree." Journal of Applied Sciences 11, no. 16 (2011): 2916–23. http://dx.doi.org/10.3923/jas.2011.2916.2923.

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28

Duszak, Piotr, Barbara Siemiątkowska, and Rafał Więckowski. "Hexagonal Grid-Based Framework for Mobile Robot Navigation." Remote Sensing 13, no. 21 (2021): 4216. http://dx.doi.org/10.3390/rs13214216.

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The paper addresses the problem of mobile robots’ navigation using a hexagonal lattice. We carried out experiments in which we used a vehicle equipped with a set of sensors. Based on the data, a traversable map was created. The experimental results proved that hexagonal maps of an environment can be easily built based on sensor readings. The path planning method has many advantages: the situation in which obstacles surround the position of the robot or the target is easily detected, and we can influence the properties of the path, e.g., the distance from obstacles or the type of surface can be

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29

Weiss, Eyal, Ariel Felner, and Gal A. Kaminka. "Tightest Admissible Shortest Path." Proceedings of the International Conference on Automated Planning and Scheduling 34 (May 30, 2024): 643–52. http://dx.doi.org/10.1609/icaps.v34i1.31527.

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The shortest path problem in graphs is fundamental to AI. Nearly all variants of the problem and relevant algorithms that solve them ignore edge-weight computation time and its common relation to weight uncertainty. This implies that taking these factors into consideration can potentially lead to a performance boost in relevant applications. Recently, a generalized framework for weighted directed graphs was suggested, where edge-weight can be computed (estimated) multiple times, at increasing accuracy and run-time expense. We build on this framework to introduce the problem of finding the tigh

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30

Thangaraj, Meena, and Ravi Sankar Sangam. "Intelligent UAV path planning framework using artificial neural network and artificial potential field." Indonesian Journal of Electrical Engineering and Computer Science 29, no. 2 (2023): 1192. http://dx.doi.org/10.11591/ijeecs.v29.i2.pp1192-1200.

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Unmanned aerial vehicles (UAVs) are utilized extensively in various fields of daily activities in the day to day life and industrial applications. The raises of utilization of UAVs guide the researchers to concentrate on various problems like handling rich and large-scale information and uninterrupted communication. Further, to achieve the above the obstacle free zone is mandatory and the present autonomous drones may fail to handle such situations. To address the mentioned issues, an effective path planning algorithm is needed, to find the optimal path and obstacle free mobility. Hence, UAV p

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31

Nakano, Keisuke, Masakazu Sengoku, and Shoji Shinoda. "Characterization of Wireless Multi-hop Paths with High Quality: Toward a Theoretical Framework." ECTI Transactions on Electrical Engineering, Electronics, and Communications 7, no. 2 (2009): 17–24. http://dx.doi.org/10.37936/ecti-eec.200972.171865.

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In this paper, we consider the quality of communication paths in wireless multi-hop networks. A wireless multi-hop network consists of wireless nodes and wireless links. In this network, there usually exist various candidate paths to connect a source and a destination. We can evaluate the quality of each of the candidate paths by using a metric for link quality, and as a result, we can choose the path with the highest quality (best path). In this paper, we pay attention to characteristics of the best path, and consider how to theoretically characterize the best path and its quality because it

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32

Meena, Thangaraj, and Sankar Sangam Ravi. "Intelligent UAV path planning framework using artificial neural network and artificial potential field." Intelligent UAV path planning framework using artificial neural network and artificial potential field 29, no. 2 (2023): 1192–200. https://doi.org/10.11591/ijeecs.v29.i2.pp1192-1200.

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Unmanned aerial vehicles (UAVs) are utilized extensively in various fields of daily activities in the day to day life and industrial applications. The raises of utilization of UAVs guide the researchers to concentrate on various problems like handling rich and large-scale information and uninterrupted communication. Further, to achieve the above the obstacle free zone is mandatory and the present autonomous drones may fail to handle such situations. To address the mentioned issues, an effective path planning algorithm is needed, to find the optimal path and obstacle free mobility. Hence, UAV p

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33

Sun, Yizhen, Junyou Yang, Donghui Zhao, Yu Shu, Zihan Zhang, and Shuoyu Wang. "A Global Trajectory Planning Framework Based on Minimizing the Risk Index." Actuators 12, no. 7 (2023): 270. http://dx.doi.org/10.3390/act12070270.

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At present, autonomous mobile robots are widely used in industrial and commercial fields. However, although the global path searched by existing mobile robot path planning methods has no collision with obstacles, there is a problem in that the path is close to obstacles and is not smooth, and there is a collision safety risk when the robot is actually moving. To solve the above problems, this paper proposes a global path planning method based on minimizing the risk index. Firstly, the distance calculation method of the heuristic function of the traditional graph search algorithm is improved to

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34

Bauer, Martin, Nicolas Charon, Tom Needham, and Mao Nishino. "Path constrained unbalanced optimal transport." Nonlinearity 38, no. 7 (2025): 075019. https://doi.org/10.1088/1361-6544/ade21d.

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Abstract Dynamical formulations of optimal transport (OT) frame the task of comparing distributions as a variational problem which searches for a path between distributions minimizing a kinetic energy functional. In applications, it is frequently natural to require paths of distributions to satisfy additional conditions. Inspired by this, we introduce a model for dynamical OT which incorporates constraints on the space of admissible paths into the framework of unbalanced OT, where the source and target measures are allowed to have a different total mass. Our main results establish, for several

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35

Wang, Zhongrui, Shuting Wang, Yuanlong Xie, Tifan Xiong, and Chao Wang. "Autonomous Navigation of Mobile Robots: A Hierarchical Planning–Control Framework with Integrated DWA and MPC." Sensors 25, no. 7 (2025): 2014. https://doi.org/10.3390/s25072014.

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In human–robot collaborative environments, the inherent complexity of shared operational spaces imposes dual requirements on process safety and task execution efficiency. To address the limitations of conventional approaches that decouple planning and control modules, we propose a hierarchical planning–control framework. The proposed framework explicitly incorporates path tracking constraints during path generation while simultaneously considering path characteristics in the control process. The framework comprises two principal components: (1) an enhanced Dynamic Window Approach (DWA) for the

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Orou Mousse, Charifou, Mohamed Benrabah, François Marmoiton, Alexis Wilhelm, and Roland Chapuis. "A Framework for Optimal Navigation in Situations of Localization Uncertainty." Sensors 23, no. 16 (2023): 7237. http://dx.doi.org/10.3390/s23167237.

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The basic functions of an autonomous vehicle typically involve navigating from one point to another in the world by following a reference path and analyzing the traversability along this path to avoid potential obstacles. What happens when the vehicle is subject to uncertainties in its localization? All its capabilities, whether path following or obstacle avoidance, are affected by this uncertainty, and stopping the vehicle becomes the safest solution. In this work, we propose a framework that optimally combines path following and obstacle avoidance while keeping these two objectives independe

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Fenercioğlu, Tevfik Ozan, and Tuncay Yalçinkaya. "Computational–Experimental Design Framework for Laser Path Length Controller." Sensors 21, no. 15 (2021): 5209. http://dx.doi.org/10.3390/s21155209.

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The application areas of piezoelectric materials are expanding rapidly in the form of piezo harvesters, sensors and actuators. A path length controller is a high-precision piezoelectric actuator used in laser oscillators, especially in ring laser gyroscopes. A path length controller alters the position of a mirror nanometrically by means of a control voltage to stabilize the route that a laser beam travels in an integral multiple of laser wavelength. The design and verification of a path length controller performance requires long (up to 3 months), expensive and precise production steps to be

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38

Potočnik, Primož, Andrej Jeromen, and Edvard Govekar. "Genetic Algorithm-Based Framework for Optimization of Laser Beam Path in Additive Manufacturing." Metals 14, no. 4 (2024): 410. http://dx.doi.org/10.3390/met14040410.

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In this study, a genetic algorithm-based laser beam (LB) path optimization method is presented to improve laser-based additive manufacturing (LBAM). To emulate the LBAM process, LB irradiation of a thin metal substrate is applied. The LB path generation is formulated as the search for the optimal sequence of LB irradiation into the cells on the substrate that minimizes the fitness function, which is composed of two components, i.e., thermal fitness and process fitness. The thermal fitness is expressed by the average thermal gradient, and a simple thermal model is developed to simulate the effe

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Jiménez, Javier Guillot, Luiz André P. Paes Leme, and Marco A. Casanova. "CoEPinKB: Evaluating Path Search Strategies in Knowledge Bases." Journal of the Brazilian Computer Society 28, no. 1 (2022): 13–25. http://dx.doi.org/10.5753/jbcs.2022.2211.

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A knowledge base, expressed using the Resource Description Framework (RDF), can be viewed as a graph whose nodes represent entities and whose edges denote relationships. The entity relatedness problem refers to the problem of discovering and understanding how two entities are related, directly or indirectly, that is, how they are connected by paths in a knowledge base. Strategies designed to solve the entity relatedness problem typically adopt an entity similarity measure to reduce the path search space and a path ranking measure to order and filter the list of paths returned. This article pre

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Syamsuddin, Muhammad Rusdi, Jimwook Kim, and Sung-Hee Lee. "Force Field-Based Control of Dynamic Particles with User-Specified Paths." International Journal of Image and Graphics 15, no. 03 (2015): 1550009. http://dx.doi.org/10.1142/s0219467815500096.

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We present a framework to design force fields that drive particles to follow a path under the physics-based animation system. In this framework, a user interactively specifies the desired path, represented by a Bezier curve using a GUI and the attraction force that drives a particle toward the target location. Then, the framework automatically defines the steering force to make a particle follow the desired path. To this end, we use B-splines to define the steering force that best approximates the user-specified path. We demonstrate the effectiveness of our method by showing a large number of

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41

Guo, Jingjing, Peng Cao, Zhaohao Sun, Bingqian Xu, Zhiyuan Liu, and Jun Yang. "Novel Prediction Framework for Path Delay Variation Based on Learning Method." Electronics 9, no. 1 (2020): 157. http://dx.doi.org/10.3390/electronics9010157.

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Path delay variation becomes a serious concern in advanced technology, especially for multi-corner conditions. Plenty of timing analysis methods have been proposed to solve the issue of path delay variation, but they mainly focus on every single corner and are based on a characterized timing library, which neglects the correlation among multiple corners, resulting in a high characterization effort for all required corners. Here, a novel prediction framework is proposed for path delay variation by employing a learning-based method using back propagation (BP) regression. It can be used to solve

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42

Zakirova, Aksana, Henryk Alff, and Matthias Schmidt. "Is the New Path a Modified Old Path?" Central Asian Affairs 10, no. 2023 (2023): 213–38. http://dx.doi.org/10.30965/22142290-bja10038.

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Abstract This article reviews the Soviet legacy in relation to contemporary cotton production in south-western Tajikistan and asks why farmers are still locked in to Soviet cotton production policies and practices despite post-Soviet regulatory, societal and environmental changes. With hindsight on Soviet agricultural production policies in Central Asia, this contribution scrutinises the perception of smallholder dehkhan farmers towards continued cotton production as a primary crop choice, which continues to occupy most of the irrigated land in the Khatlon region. For the analyses of the post-

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43

Diosi, Albert, Anthony Remazeilles, Siniša Šegvic, and François Chaumette. "EXPERIMENTAL EVALUATION OF AN URBAN VISUAL PATH FOLLOWING FRAMEWORK." IFAC Proceedings Volumes 40, no. 15 (2007): 288–93. http://dx.doi.org/10.3182/20070903-3-fr-2921.00050.

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44

Airlangga, Gregorius, and Alan Liu. "Online Path Planning Framework for UAV in Rural Areas." IEEE Access 10 (2022): 37572–85. http://dx.doi.org/10.1109/access.2022.3164505.

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45

Fine, Ben. "Assessing South Africa's New Growth Path: framework for change?" Review of African Political Economy 39, no. 134 (2012): 551–68. http://dx.doi.org/10.1080/03056244.2012.738418.

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46

Chacko, Sonia Mary, Armando Granado, and Vikram Kapila. "An Augmented Reality Framework for Robotic Tool-path Teaching." Procedia CIRP 93 (2020): 1218–23. http://dx.doi.org/10.1016/j.procir.2020.03.143.

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47

Wright, Karen, and Hussein Dia. "Path Dependence: A Framework for Understanding Active Transport Implementation." Journal of Transport & Health 14 (September 2019): 100749. http://dx.doi.org/10.1016/j.jth.2019.100749.

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Zhou, Xiao, Liang Cheng, Weidong Li, et al. "A comprehensive path planning framework for patrolling marine environment." Applied Ocean Research 100 (July 2020): 102155. http://dx.doi.org/10.1016/j.apor.2020.102155.

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49

Ghosh, Sayan, Abhishek Halder, and Manoranjan Sinha. "Micro air vehicle path planning in fuzzy quadtree framework." Applied Soft Computing 11, no. 8 (2011): 4859–65. http://dx.doi.org/10.1016/j.asoc.2011.06.014.

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50

Balakrishnan, J. "Neural network learning dynamics in a path integral framework." European Physical Journal B 15, no. 4 (2000): 679–83. http://dx.doi.org/10.1007/s100510051172.

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