## What is/are Real World Applications?

Real World Applications - In this novel method, the assumption on the number of servers is more relaxed and thus practical for real-world applications.^{[1]}Constrained multiobjective optimization problems widely exist in real-world applications.

^{[2]}While campers were given the opportunity to make friends and learn about how to manage their diabetes, I was able to supplement areas of my education with real-world applications of content from my clinical courses.

^{[3]}Empirical experiments demonstrate the effectiveness of our new algorithm through a set of evaluations based on real-world applications.

^{[4]}3D object detection is a critical part of environmental perception systems and one of the most fundamental tasks in understanding the 3D visual world, which benefit a series of downstream real-world applications.

^{[5]}Communications in multi-robot systems is a key factor, especially when aiming for real-world applications.

^{[6]}The latest developments in Social Opinion Mining beyond 2018 are also presented together with future research directions, with the aim of leaving a wider academic and societal impact in several real-world applications.

^{[7]}However, in many real-world applications, it is difficult to acquire a large number of data as needed.

^{[8]}This is a serious shortcoming as many real-world applications involve both types of constraints.

^{[9]}To recognize the label numbers of industrial black material product and deploy deep CNNs in real-world applications, this research uses an efficient method to simultaneously (a) reduce the network model size and (b) lower the amount of calculation without compromising accuracy.

^{[10]}Directions for future research are thus highlighted to improve both the performance and the explainability of the ALCS to meet the needs of critical real-world applications.

^{[11]}Current human gait cycle prediction models need detailed kinematic and kinetic data of the human body as input parameters, and measuring them requires special instruments, making them difficult to use in real-world applications.

^{[12]}Our proposal has real-world applications in automated metadata tagging for symbolic music, for example in digital libraries for musicology, datasets for machine learning, and knowledge graph completion.

^{[13]}Optimizing centralized dispatching of flexible feeder transit to provide transport and transfer services is important and theoretically challenging for real-world applications.

^{[14]}Our evaluation with both micro-benchmarks and real-world applications demonstrates the effectiveness of Falcon, with significantly improved performance (by 300% for web serving) and reduced tail latency (by 53% for data caching).

^{[15]}Nowadays, in real-world applications, the dimensions of data are generated dynamically, and the traditional batch feature selection methods are not suitable for streaming data.

^{[16]}Few-shot imbalanced classification tasks are commonly faced in the real-world applications due to the unbalanced data distribution and few samples of rare classes.

^{[17]}+e proposed scheme can be further applied to the real-world applications on video broadcasting and 3D multimedia industry.

^{[18]}Forecasting human activities observed in videos is a long-standing challenge in computer vision and robotics and is also beneficial for various real-world applications such as mobile robot navigation and drone landing.

^{[19]}Some of the key factors elaborated in the review include the state of art approaches for the preparation of functional materials, mode of incorporation of the same into the leather matrix, the mechanism behind with a perspective on the challenges involved in fabrication for real-world applications.

^{[20]}It consists of up-to-date, state-of-the-art research contributions with novel designs and developments of intelligent application, perception, and security methods in human-centered AI, to enhance the reliability and feasibility of HC in real-world applications.

^{[21]}We further demonstrate that Revealer successfully detected 45 vulnerable regexes in popular real-world applications.

^{[22]}Before attempting to use these models in real-world applications such as hearing tests or (second) language comprehension assessment we need to know what level of speech information is being utilized by these models.

^{[23]}Non-symmetrically distributed and heavy-tailed data clusters have been reported in a variety of real-world applications.

^{[24]}Data-driven fault classification methods are receiving great attention as they can be applied to many real-world applications.

^{[25]}With the rapidly growing use of Convolutional Neural Networks (CNNs) in real-world applications related to machine learning and Artificial Intelligence (Al), several hardware accelerator designs for CNN inference and training have been proposed recently.

^{[26]}To date, a wide variety of EFS approaches have been developed and successfully used in real-world applications which address structural evolution and parameter adaptation in single EFS models.

^{[27]}The proposed algorithms will greatly facilitate the real-world applications of MI based BCIs.

^{[28]}Case studies are provided, and a methodological approach (matrix forecasting) is then provided to show how it could work in research practice and real-world applications.

^{[29]}The Deep Neural Network (DNN) already shows the superiority in many real-world applications.

^{[30]}To deal the challenges facing ear and arm gesture authentication systems in real-world applications, we propose a new method based on image fragmentation that makes the ear recognition more robust in relation to occlusion.

^{[31]}Among trajectory-tracking algorithms for unmanned vehicles, the Pure Pursuit (PP) algorithm is prevalent in many real-world applications because of its simple and easy implementation.

^{[32]}Practical implicationsThe practical implication of the suggested techniques is that they can be implemented in real-world applications, since they can be used for comparing the capability of any pair of competitive processes.

^{[33]}Our work clarifies the importance of diffusion of noble metals in thermally tunable metasurfaces and how to overcome it, thus helping phase-change-based metasurface technology move a step closer towards the realization of real-world applications.

^{[34]}Information in many real-world applications is inherently multi-modal, sequential and characterized by a variety of missing values.

^{[35]}Overall, the analysis supports multidisciplinary and synthetic research in the modeling of tourism research and promotes complex network analysis in the study of socio-economic systems, by providing insights into the physical conceptualization that the community detection based on the modularity optimization algorithm can enjoy to the real-world applications.

^{[36]}The second volume is focused on the simulation of problems arising in real-world applications, such as complex fluid mechanics, elasticity problems, and complex porous media flows.

^{[37]}We hope that this piece will be useful to the neuroimaging community as we continue efforts to characterize inter- and intra-subject variability in brain function and build predictive models with an eye toward eventual real-world applications.

^{[38]}The efficiency of the novel technique is illustrated using a numerical example and two real-world applications, which are a twin rotor system and a flexible manipulator system.

^{[39]}Unfortunately, such detrimental distribution inherently occurs in various real-world applications.

^{[40]}As one would expect, there is a drive towards producing squeezed light sources in integrated platforms, as it is expected that such a transition will ease the challenges in moving toward real-world applications.

^{[41]}Large-scale supervision leads to limitations in utility for many real-world applications, including those involving difficult-to-detect, small, and sparse target objects in variable environments.

^{[42]}Pedestrian detection and tracking is an important area of study in real-world applications such as mobile robots, human-computer interaction, video surveillance, pedestrian protection systems, etc.

^{[43]}The uncertain capacitated arc routing problem is an important optimisation problem with many real-world applications.

^{[44]}Construction of mathematical models to investigate genetic circuit design is a powerful technique in synthetic biology with real-world applications in biomanufacturing and biosensing.

^{[45]}Any system deployed for real-world applications will have to perform well in complex and uncertain environments, and a component of this is the limited reliability and accuracy of evidence sources.

^{[46]}The proposed method is user-friendly, complete in outranking, successful in real-world applications and capable to establish the cause and effect series constituent of the complicated water absorption system.

^{[47]}The nonlocal mechanism (NM) has shown its effectiveness in many real-world applications.

^{[48]}Finally, a case study about the initial water rights allocation in the Huaihe River Basin is illustrated to show how the developed FBWM method works for real-world applications.

^{[49]}Based on these results, we can confirm that the subject-transfer strategy can contribute to improving the accuracy of the SSSEP-based BCIs for real-world applications.

^{[50]}

## natural language processing

Emotion recognition (ER) is an important task in Natural Language Processing (NLP), due to its high impact in real-world applications from health and well-being to author profiling, consumer analysis and security.^{[1]}Sentiment analysis, an important natural language processing task, has been applied in many real-world applications such as recommender systems and intelligence business systems.

^{[2]}Recent years have seen many breakthroughs in natural language processing (NLP), transitioning it from a mostly theoretical field to one with many real-world applications.

^{[3]}Many real-world applications involve the use of Optical Character Recognition (OCR) engines to transform handwritten images into transcripts on which downstream Natural Language Processing (NLP) models are applied.

^{[4]}Research on natural language processing and electronic health records should also be strengthened to improve the real-world applications of health information technologies and big data in the future.

^{[5]}By comparing the changes in the native models with controlling variables for specific tasks and the impact of pre-training on the models in real-world applications with the same language model architecture, we summarize and outlook the potential directions and characteristics of future technological iterations in the field of natural language processing in language modeling.

^{[6]}Machine learning algorithms can be used widely in various real-world applications such as e-mail filtering, computer networks, natural language processing, search engines, telecommunications, Internet fraud detection and DNA sequence classification.

^{[7]}In addition, the current state-of-the-art, pre-trained Natural Language Processing (NLP) models do not make use of existing knowledge graphs, thus often leading to unsatisfactory performance in real-world applications.

^{[8]}As a robust similarity measurement, Earth Mover's Distance (EMD) has been widely adopted in many real-world applications, such as machine learning, computer vision and natural language processing.

^{[9]}The robustness and security of natural language processing (NLP) models are significantly important in real-world applications.

^{[10]}Textual Emotion Recognition (TER) is an important task in Natural Language Processing (NLP), due to its high impact in real-world applications.

^{[11]}

## time linkage property

Based on the analysis of the existing DMOPs, several features widely existed in real-world applications are not taken into account: different objectives may have different function models and variables to be optimized; and the number of conflicting variables should be independent from the number of objectives; the time-linkage property is not considered.^{[1]}Many real-world applications have the time-linkage property, and the only theoretical analysis is recently given by Zheng, et al.

^{[2]}In real-world applications, many optimization problems have the time-linkage property, that is, the objective function value relies on the current solution as well as the historical solutions.

^{[3]}In real-world applications, many optimization problems have the time-linkage property, that is, the objective function value relies on the current solution as well as the historical solutions.

^{[4]}

## network intrusion detection

Class imbalance is a widely existed and challenging problem in real-world applications such as disease diagnosis, fraud detection, network intrusion detection and so on.^{[1]}Nowadays, efficient and effective stream processing has become increasingly important in many real-world applications such as sensor data monitoring, network intrusion detection, IP network traffic analysis, and so on.

^{[2]}Imbalanced learning is prevalent in many real-world applications, such as medical research, network intrusion detection, and fraud detection in credit card transactions, etc.

^{[3]}

## challenging computer vision

Visual object tracking remains a challenging computer vision problem with numerous real-world applications.^{[1]}Object detection is a challenging computer vision task with numerous real-world applications.

^{[2]}Detecting pedestrians, especially under heavy occlusions, is a challenging computer vision problem with numerous real-world applications.

^{[3]}

## computer vision problem

People tracking represents an important computer vision problem with numerous real-world applications.^{[1]}

## linguistic decision making

Finally, user experiences of shared bikes, which is a large-scale linguistic decision making problem in real-world applications, is employed to show the new decision making framework and the uniform fusion method of multi linguistic assessments, furthermore comparison with existing linguistic decision making methods are analyzed in the example, it seems that multi linguistic decision matrix and the uniform fusion method are useful and effective tools to deal with large-scale linguistic decision making problems with multi linguistic assessments.^{[1]}