Relevant bibliographies by topics / Dynamically changing detections

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Academic literature on the topic 'Dynamically changing detections'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Dynamically changing detections"

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Miao, Yuyang, Xihan Wang, Ning Zhang, Kai Wang, Lianhe Shao, and Quanli Gao. "Research on a UAV-View Object-Detection Method Based on YOLOv7-Tiny." Applied Sciences 14, no. 24 (2024): 11929. https://doi.org/10.3390/app142411929.

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To address the issues of missed and false detections caused by small object sizes, dense object distribution, and complex scenes in drone aerial images, this study proposes a drone-view object-detection algorithm based on YOLOv7-tiny with a Partial_C_Detect detection head. The algorithm’s performance in handling object occlusion and multi-scale detection is enhanced by introducing the VarifocalLoss loss function and improving the feature fusion network to BiFPN. Furthermore, incorporating the novel Partial_C_Detect detection head and Adaptive Kernel Convolution (AKConv) improves the detection
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Tasaki, Tsuyoshi, Fumio Ozaki, Nobuto Matsuhira, Tetsuya Ogata, and Hiroshi G. Okuno. "People Detection Based on Spatial Mapping of Friendliness and Floor Boundary Points for a Mobile Navigation Robot." Journal of Robotics 2011 (2011): 1–10. http://dx.doi.org/10.1155/2011/683975.

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Navigation robots must single out partners requiring navigation and move in the cluttered environment where people walk around. Developing such robots requires two different people detections: detecting partners and detecting all moving people around the robots. For detecting partners, we design divided spaces based on the spatial relationships and sensing ranges. Mapping the friendliness of each divided space based on the stimulus from the multiple sensors to detect people calling robots positively, robots detect partners on the highest friendliness space. For detecting moving people, we rega
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Minakov, E. I., G. A. Valikhin, A. V. Ovchinnikov, and S. S. Matveeva. "Tracking Filter for Radio Surveillance upon UAV Detection." Proceedings of Universities. Electronics 26, no. 6 (2021): 554–64. http://dx.doi.org/10.24151/1561-5405-2021-26-6-554-564.

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Unsanctioned intrusion of unmanned aerial vehicle (UAV) on the territory of the guarded object is primarily detected by specialized radio surveillance systems. The results obtained by radio surveillance systems are used for aiming of UAV visual identification and radio jamming systems. In this work, the problems of UAV detection and tracking of the target trajectory are considered. The known tracking filter systems for radio surveillance application were analyzed and a specialized matrix tracking filter system was proposed, which uses in its algorithm a dynamically changing energy potential of
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NIKITIN, DMYTRO, and OLEKSANDR RYBITSKYI. "INTEGRATION OF OBD-II VEHICLE DIAGNOSTICS WITH FINITE STATE MACHINE SOFTWARE DESIGN." Herald of Khmelnytskyi National University. Technical sciences 349, no. 2 (2025): 293–300. https://doi.org/10.31891/2307-5732-2025-349-43.

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This research presents an innovative approach to integrating On-Board Diagnostics II (OBD-II) vehicle diagnostic systems with finite state machine (FSM) software design methodologies. The study addresses the growing complexity of modern vehicle diagnostic systems and proposes a novel framework that combines real-time vehicle diagnostics with automated software control systems. By leveraging FSM-based architectures, this research seeks to enhance diagnostic accuracy, reduce false detections, and provide a scalable solution adaptable to various vehicle models and driving conditions. The integrat
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Polgarova, Kamila, Vojtech Kulvait, Karina Vargova, et al. "Clonal Architecture of MDS Somatic Mutations Dynamically Changes during Azacitidine Therapy and Has Very Limited Potential to Predict Patient Outcome." Blood 128, no. 22 (2016): 4294. http://dx.doi.org/10.1182/blood.v128.22.4294.4294.

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Abstract Introduction: Myelodysplastic syndromes (MDS) are clonal disorders of myeloid hematopoietic stem cells. Recent studies has shown that nearly 90% of patients with MDS carry somatic mutations in bone marrow (BM). These findings triggered a number of studies to identify potential uses of these mutations for diagnostics and prognostics purposes. We focused on a group of 38 patients with advanced stages of the disease that were selected for Azacitidine (AZA) therapy. We then utilized a set of 98 BM samples from the patient cohort that were collected in different stages before, during, and
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Guo, Haoxin, Jiarui Liu, Yan Li, et al. "Efficient Tomato Disease Detection Using MaxMin-Diffusion Mechanism and Lightweight Techniques." Plants 14, no. 3 (2025): 354. https://doi.org/10.3390/plants14030354.

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This paper proposes a disease detection model based on the maxmin-diffusion mechanism, aimed at improving the accuracy and robustness of disease detection tasks in the agricultural field. With the development of smart agriculture, automated disease detection has become one of the key tasks driving agricultural modernization. Traditional disease detection models often suffer from significant accuracy loss and robustness issues when dealing with complex disease types and dynamically changing time-series data. To address these problems, this paper introduces the maxmin-diffusion mechanism, which
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Liu, Xiaoyuan, Shihong Yue, and Zeying Wang. "A New Design of Electrical Impedance Tomography Sensor System for Pulmonary Disease Diagnosis." Journal of Systems Science and Information 6, no. 5 (2018): 473–80. http://dx.doi.org/10.21078/jssi-2018-473-08.

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AbstractAs an advanced process detection technology, electrical impedance tomography (EIT) has wide application prospects and advantages in medical imaging diagnosis. However, a series of issues need to be addressed before applying EIT for bedside monitoring. Medical diagnosis and bedside monitoring are dynamic measuring process, where the positions of measuring electrodes and the shape of the detected field are changing dynamical. Due to the inability to cope with the changeable electrode positions and various dynamic fields, existing EIT systems are mainly used for industrial detection in co
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WooJang, Seok, and Siwoo Byun. "Facial region detection robust to changing backgrounds." International Journal of Engineering & Technology 7, no. 2.12 (2018): 25. http://dx.doi.org/10.14419/ijet.v7i2.12.11028.

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Background/Objectives: These days, many studies have actively been conducted on intelligent robots capable of providing human friendly service. To make natural interaction between humans and robots, it is required to develop the mobile robot-based technology of detecting human facial regions robustly in dynamically changing real backgrounds.Methods/Statistical analysis: This paper proposes a method for detecting facial regions adaptively through the mobile robot-based monitoring of backgrounds in a dynamic real environment. In the proposed method, a camera-object distance and a color change in
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Zhai, Yaning, Ling Zhang, Xin Hu, Fanghu Yang, and Yang Huang. "A Dynamic Kalman Filtering Method for Multi-Object Fruit Tracking and Counting in Complex Orchards." Sensors 25, no. 13 (2025): 4138. https://doi.org/10.3390/s25134138.

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With the rapid development of agricultural intelligence in recent years, automatic fruit detection and counting technologies have become increasingly significant for optimizing orchard management and advancing precision agriculture. However, existing deep learning-based models are primarily designed to process static and single-frame images, thereby failing to meet the large-scale detection and counting demands in the dynamically changing scenes of modern orchards. To address these challenges, this paper proposes a multi-object fruit tracking and counting method, which integrates an improved Y
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Anub, A., and S. Sreelekshmy. "Dynamic Threshold-Based Algorithm for Client-Based HTTP Proxy Attack Detection through Spatial and Temporal Behavior Pattern Analysis." Recent Trends in Androids and IOS Applications 6, no. 3 (2024): 48–53. https://doi.org/10.5281/zenodo.13626561.

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<em>This paper provides a unique approach to client- based HTTP proxy attack detection using a Dynamic Spatiotem- poral Behavior Analysis (DSTBA) algorithm. Traditional meth- ods often lack adaptability to sophisticated cyberattacks. DSTBA addresses this by dynamically adjusting detection thresholds based on real-time analysis of spatial (network node distribution and interaction) and temporal (request timing and frequency) behavior patterns. This integration with machine learning tech- niques enhances attack identification accuracy while minimizing false positives. DSTBA&rsquo;s core strength
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Book chapters on the topic "Dynamically changing detections"

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Hüwel, Jan David, Florian Haselbeck, Dominik G. Grimm, and Christian Beecks. "Dynamically Self-adjusting Gaussian Processes for Data Stream Modelling." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15791-2_10.

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AbstractOne of the major challenges in time series analysis are changing data distributions, especially when processing data streams. To ensure an up-to-date model delivering useful predictions at all times, model reconfigurations are required to adapt to such evolving streams. For Gaussian processes, this might require the adaptation of the internal kernel expression. In this paper, we present dynamically self-adjusting Gaussian processes by introducing Event-Triggered Kernel Adjustments in Gaussian process modelling (ETKA), a novel data stream modelling algorithm that can handle evolving and
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Mavridis, Christos N., Nilesh Suriyarachchi, and John S. Baras. "Detection of Dynamically Changing Leaders in Complex Swarms from Observed Dynamic Data." In Lecture Notes in Computer Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-64793-3_12.

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Li, Hui, and He Bai. "Network Control Message Protocol." In Principle of Architecture, Protocol, and Algorithms for CoG-MIN. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3596-2_10.

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Abstract The network control message protocol enables network administrators to accurately obtain the latest network status, in order to repair network failures in time and ensure the quality of data transmission in dynamically changing network environments. There are many applications based on the network control message protocol for detecting and diagnosing network problems on the Internet, such as the path trace tool, i.e., Trace. Path trace tools send control messages through special mechanisms and receive replies to obtain link information and transmission delays between two points. This
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Choudhury, Madhab Paul, Madhab Paul Choudhury, and Chandrashekhar Azad. "Deep Learning-Based AI Modeling, Intrusion Detection." In Advances in Digital Crime, Forensics, and Cyber Terrorism. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-4558-7.ch005.

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Machine learning techniques are being used to create an intrusion detection system (IDS) for detecting and classifying cyber-attacks at the network-level and the host-level in a timely manner. Various datasets are available for research by cyber security researchers. However, no previous study has shown the detailed analysis of the performance of various machine learning algorithms on various available datasets. As the nature of malware is changing dynamically with the changing attacking methods, the detailed analysis of the available data sets is necessary to find out the cause of the malware
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Sargsyan Vardan, Sargsyan Arman, and Ghazaryan Armen. "Distributed Computer Attack Detection System for Corporate Networks." In NATO Science for Peace and Security Series - D: Information and Communication Security. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-391-9-243.

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This paper presents a method for distributed attacks detection in corporate computer networks. The method is designed according to the modern requirements of attack detection and can be used to reveal existing and modified attacks. A mathematical model of the system is developed using hybrid neural networks. Hybrid networks are presented as an integration of two artificial networks &amp;ndash; a multilayer neural network and a self-organizing map or Kohonen network. The model can be applied in corporate networks for increasing efficiency of security management. Corporate networks formed the en
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Sharath, T., and A. Muthukumaravel. "Deep Learning-Powered Intrusion Detection Systems Networks Using LSTM." In Advances in Computer and Electrical Engineering. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-3739-4.ch006.

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Novel methods for intrusion detection systems (IDS) are essential to safeguard network environments against cyber-attacks effectively. Traditional intrusion detection systems struggle to handle modern cyber threats due to their complex patterns. This study suggests implementing an intrusion detection system that utilizes long short-term memory (LSTM) networks to tackle this issue. Identifying network traffic patterns with temporal correlations poses a challenge for intrusion detection systems (IDS) due to limitations in current models. When dealing with sequential data like flow timings, packe
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Velaga, Venkata Sai Sandeep. "Hybrid Optimization-Based Algorithm for Adaptive Threat Detection in Cloud Environments." In CyberFusion: The Strategic Integration of Cybersecurity for Digital Transformation in Tech Environment. QTanalytics India, 2025. https://doi.org/10.48001/978-81-980647-2-1-5.

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In the rapidly changing field of cloud computing, traditional security approaches may not be enough to thwart new cyber threats that are now sophisticated and adaptive. This paper proposes a new hybrid optimization-based threat detection model based on adaptive machine learning models and multiple optimization methods, such as Genetic Algorithms and Particle Swarm Optimization (PSO). The proposed model exploits optimization to select relevant features and optimize detection parameters. The hybrid model has the ability to learn adaptive patterns against evolving attacks and dynamically adjust t
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Pandian, Raviraj, and Ramya A. "Detecting and Tracking Segmentation of Moving Objects Using Graph Cut Algorithm." In Feature Dimension Reduction for Content-Based Image Identification. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5775-3.ch010.

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Real-time moving object detection, classification, and tracking capabilities are presented with system operates on both color and gray-scale video imagery from a stationary camera. It can handle object detection in indoor and outdoor environments and under changing illumination conditions. Object detection in a video is usually performed by object detectors or background subtraction techniques. The proposed method determines the threshold automatically and dynamically depending on the intensities of the pixels in the current frame. In this method, it updates the background model with learning
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Dwivedi, Smrity. "Antenna Array for Reconfigurations." In Handbook of Research on Emerging Designs and Applications for Microwave and Millimeter Wave Circuits. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-5955-3.ch008.

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A reconfigurable antenna is an antenna having a capability to modify its properties dynamically in a controlled and reversible manner. The need for multi-functional (e.g., direction finding beam steering, radar, control, and command), high-performance, and cost-effective devices within a confined volume place a greater burden on today's transmitting and receiving systems. So, reconfiguring an antenna is achieved through deliberately changing its frequency, polarization, or radiation characteristics. Many techniques are to achieve this change by redistributing antenna currents and thus altering
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Ramesh, Keerthika, Logeshwari L, and M. Vanitha. "Energy Efficient Underground Wireless Sensor Networks for Disaster Analysis in Hill Stations." In Advancements in Communication and Systems. Soft Computing Research Society, 2024. http://dx.doi.org/10.56155/978-81-955020-7-3-5.

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The emerging growth of wireless sensor networks (WSN) systems provides various benefits over the data transmission at different environments. Remote monitoring systems are important to make continuous evaluation of environments, healthcare, safety, emergency response and smart analysis. Underground wireless sensor networks (UGWSN) are increasing in recent innovations for detection of various emergency condition and to provide early alert to the peoples. Even though UGWSN models face various challenges in terms of installations and maintenance, dynamically changing environment, sensor life span
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Conference papers on the topic "Dynamically changing detections"

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Tan, M. YJ, F. Mahdavi, F. Varela, M. Forsyth, Y. Huo, and B. Hinton. "Monitoring Dynamic Corrosion and Coating Failure on Buried Steel Using an Multi-electrode Array." In CORROSION 2017. NACE International, 2017. https://doi.org/10.5006/c2017-09238.

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Abstract Metallic structures such as underground oil and gas pipelines are typically protected from corrosion by a combination of barrier coatings and cathodic protection (CP) systems. Although coatings and CP systems have been proven to be effective for protecting buried steel from general forms of corrosion, unfortunately localized corrosion and coating degradation can occur under dynamically changing local environmental conditions. For instance corrosion and coating failure on buried steel pipeline frequently can occur under the dynamic effects of stray currents, anodic transients, cathodic
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Huang, Quanyong, Bin Luo, Sheng Bi, and Yikai Ma. "A novel approach for skin color detection in dynamically changing Illumination." In 2011 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2011. http://dx.doi.org/10.1109/robio.2011.6181457.

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Fernandez-Marquez, Jose Luis, Josep Lluis Arcos, and Giovanna Di Marzo Serugendo. "A Decentralized Approach for Detecting Dynamically Changing Diffuse Event Sources in Noisy WSN Environments." In 2010 4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE, 2010. http://dx.doi.org/10.1109/saso.2010.30.

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Sandgren, E., and S. Venkataraman. "Robot Path Planning and Obstacle Avoidance: A Design Optimization Approach." In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0087.

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Abstract A design optimization approach to robot path planning in a two dimensional workplace is presented. Obstacles are represented as a series of rectangular regions and collision detection is performed by an operation similar to clipping in computer graphics. The feasible design space is approximated by a discrete set of robot arm and gripper positions. Control is applied directly through the angular motion of each link. Feasible positions which are located between the initial and final robot link positions are grouped into stages. A dynamic programming algorithm is applied to locate the b
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Sandgren, E., and S. Venkataraman. "Robot Path Planning via Simulated Annealing: A Near Real Time Approach." In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0057.

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Abstract An efficient procedure for near optimal robot path planning in a two dimensional workplace is presented. Obstacles are represented as a series of rectangular regions which allows collision detection to be performed by an operation similar to clipping in computer graphics. The feasible design space is approximated by a discrete set of robot arm and gripper positions. A control sequence of the angular position of each link is determined. A set of intermediate link positions are generated and grouped into stages. A dynamic programming problem is formulated to locate the best state within
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Tarroja, Manuela Fe H., Lee W. Casperson, Arni Sicam, and Pilak Chenkosol. "Period-doubling route to chaos in a standing-wave laser." In OSA Annual Meeting. Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.tup7.

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The direct comparison between numerical and experimental results on the chaotic behavior of laser systems has been limited because the detection mechanisms usually allow only one or, at most, two aspects of their dynamical behavior to be observed simultaneously. Using a digital oscilloscope, we are able to observe simultaneously the temporal and spectral behavior as well as the corresponding phase plot of the output from a xenon laser, which is detected by a fast InAs detector. As the excitation current of the laser is increased, the laser exhibits a period-doubling route to chaos. Casperson's
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Bickelhaupt, Sandra, Michael Hahn, Andrey Morozov, and Michael Weyrich. "Towards Future Vehicle Diagnostics in Software-Defined Vehicles." In 2024 Stuttgart International Symposium. SAE International, 2024. http://dx.doi.org/10.4271/2024-01-2981.

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&lt;div class="section abstract"&gt;&lt;div class="htmlview paragraph"&gt;Software will lead the development and life cycle of vehicles in the future. Nowadays, more and more software is being integrated into a vehicle, evolving it into a Software-Defined Vehicle (SDV). Automotive High Performance Computers (HPCs) serve as enablers by providing more computing infrastructure which can be flexibly used inside a vehicle. However, this leads to a complex vehicle system that needs to function today and in the future. Detecting and rectifying failures as quickly as possible is essential, but existin
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Wessling, S., O. Hummes, F. Jonsbraten, C. Hansen, V. Klemme, and S. Haberer. "Closing the Loop with the Subsurface: First Deployment of Autonomous Well Placement Following Reservoir Boundaries." In ADIPEC. SPE, 2023. http://dx.doi.org/10.2118/216251-ms.

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Abstract Industry-wide initiatives towards autonomous execution of drilling activities are maturing (Forshaw et al, 2023), and construction of wellbore sections is possible without pro-active human control. Engineers are now rather tasked to monitor the execution of the process and intervene in case of specific exceptions. While automatic drilling optimization primarily focuses on the control of rig operations, and automatic directional drilling focuses on drilling the predefined well plan, autonomous wellbore positioning focuses on maintaining wellbore position within the geologic and petroph
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Reports on the topic "Dynamically changing detections"

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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and ope
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