Introduction to Real World

In this paper, which consists of two parts The first part is implemented on object detection in the surrounding with Yolo (You Only Look Once)Algorithm provides exact classification and position which is configured on newly created datasets for classes of object: a car, a person, a truck, a bus, traffic light, motorcycle, pothole, wetland uses the Convolutional Neural Network and max-polling layer for prediction that improves detecting of small target and these deep learning technique provides a high accuracy for detecting real world.

In this article, we present an approach to detect basic movements of cyclists in real world traffic situations based on image sequences, optical flow (OF) sequences, and past positions using a multi-stream 3D convolutional neural network (3D-ConvNet) architecture.

This project was the first to explore the use of AI agents trained in simulation using deep reinforcement learning and tested on a high-performance aircraft in the real world performing routing and computer vision tasks.

The goal of this survey is to state the current state of the art of deep reinforcement learning (DRL) research in the real-time strategy game “StarCraft” introducing the creative ways in which neural networks can be used to bring us steps closer to create AI agents that can deal with the real world.

Real world clinical decision-making regarding antibiotic choice for biologic antibacterial envelopes varies among implanting clinicians and influences observed outcomes.

284Background: Integration of clinical and claims data allows for the examination of outcomes and characteristics which is essential for real world evidence generation and clinical decision making.

On this basis, a real world typical flexible flow shop, the ball grinder mill of ceramic and cement industry, is taken as a case study to show the modeling process and verify the performance of the artificial intelligence algorithm-based multi-objective optimization model.

A number of sparse multi-objective optimization problems (SMOPs) exist in the real world.

The goal of this study is to examine the ctDNA mut profile, and the impact of commonly mutated genes (ESR1, TP53 and PIK3CA) on progression free survival (PFS) in pts received pal as SOC in a real world experience.

Kaplan-Meier methods were used to estimate median real world progression free survival (mPFS) and overall survival (mOS) from start of 1L.

The results of experiments executed over 23 real world datasets have shown that Enlarged Hedge Algebras based classifier with our proposed co-optimization PSO algorithm outperforms the existing classifiers which are designed based on Enlarged Hedge Algebras methodology with two phase optimization process and the existing fuzzy set theory based classifiers.

The limitations of the crisp set theory in the real world applications and comparison of the set objects with respect to certain characteristics have led to the introduction of fuzzy set theory.

The experimental results prove the effectiveness of the OE-LSTM framework in a real world traffic flow dataset.

Finally, we conduct comparative experiments of our model with other baseline algorithms on three real world datasets, and the experimental results prove the superiority of our model.

Here we assessed real world immune responses following vaccination with mRNA-based vaccine BNT162b2.

Here we assessed real world immune responses following vaccination with mRNA-based vaccine BNT162b2.

In real world, multi-attribute group decision making (MAGDM) is a complicated cognitive process that involves expression, fusion and analysis of multi-source uncertain information.

Multi-criteria group decision-making (MCGDM) problems are very common in the real world.

e18733 Background: Although PD-1/PD-L1 inhibitors have become the standard treatment for patients with advanced non-small cell lung cancer (NSCLC), data from clinical trials are difficult to be verified in the real world.

This study aimed to evaluate the efficacy and safety of anlotinib in advanced non-small cell lung cancer (aNSCLC) in the real world.

This single center study retrospectively analyzed the efficacy and safety of preoperative chemotherapy combined with PD-1 antibody in patients with locally advanced operable or potentially resectable ESCC in the real world.

Methods: This retrospective, real world, single center study included 99 patients (mean age [Standard Deviation]: 53.

At the same time, these trials do provide a lot of good data, but it needs to be interpreted well, and extrapolated appropriately to patients in practice as there are differences between what happens in a randomized control trial and in the real world.

While vaccine efficacy is studied in an ideal setting, as a prospective randomized control trial (where effect of vaccination in prevention of infection or disease can be proven), vaccine effectiveness studies are done in real world settings in prospective cohort or retrospective caseecontrol studies.

The aims of this study were; firstly, to replicate results of inter-brain synchrony reported in existing literature for a real world task and secondly, to explore whether the inter-brain synchrony could be elicited in a Virtual Environment (VE).

Preliminary research in the area demonstrates that inter-brain synchrony in virtual environments can be achieved in a manner similar to that seen in the real world.

Real world problems related to decision making contain uncertainty in data which cannot be very precise as per our choice; as it is seen that the interval valued fuzzy logic deals greatly with such imprecise data and gives the best outcome.

In this paper, interval-valued fuzzy cliques (IVFQs) and interval-valued fuzzy clique covers (IVFQCs) of an interval-valued fuzzy graph (IVFG) are introduced by introducing the fuzziness because, the crisp graphs has some limitations in real world due to uncertainty of vagueness.

This approach relies heavily on normative (rational) decision-making processes, and often leaves out descriptive influences that stem from personal, social, and environmental factors and explain how decisions are typically made in the real world.

Aims: To assess non-small-cell lung cancer (NSCLC) patient-centered outcomes in the real world.

In this work, we compare these libraries qualitatively and quantitatively based on four different spatial queries using two real world datasets.

The accuracy and performance are highlighted using several simple test systems as well as two real world problems.

At last, proposed CMWOA is successfully applied to three real world problems, which further verifies the practicality of proposed algorithm.

Moreover, it could retrieve more outliers from three real World datasets.

However, intricate reading methods are required to obtain multi-level information stored in different colors, which greatly limits the application of anti-counterfeiting technology on solving real world problems.

Generally, these findings indicate the effectiveness of HMODE-DLS for the studied cases and its potential in solving real world complex problems.

In this paper, we introduce a novel end-to-end simulation tool- Behavior Simulation from User Equipment to Edge and Cloud (BSUEEC)- which can offload computing, communication, and traffic simulation to different simulators for the deployment and resource planning of MEC, applicable to various real world scenarios.

The source code of the proposed algorithm is publicly available, which can be used to solve various real world problems.

More and more sensors and devices are being connected together to develop new systems to solve real world problems.

Most theories of intelligence do not directly address the question of whether people with high intelligence can successfully solve real world problems.

Empirical results on several real world benchmarks illustrate the efficacy of our approach.

These days, due to the increasing demand for high speed and parallel computation, several real world applications and systems include multiple FPGAs in them.

In order to verify the sensors’ operational behavior, a test environment with the ability to simulate real world scenarios is required.

We did not provide either SCF70 or SCF85B to the participants for a longer duration, in advance of the breath hydrogen collection, to best simulate real world consumption pattern of consumers.

The observed spatial consistency in measurements was then used to validate whether the 3GPP spatial consistency procedure (3GPP SC-I) reflects real world spatial consistency.

Mobility models are practiced in implementation of protocols and the pattern by which the mobility models reflect real world practices of vehicles on the roads.

The comparison, carried out on three different real world datasets, reveals similar predictive performance, although the shallow approach seems to be more robust and less demanding in terms of time-to-predict.

Autonomous driving considers issues related to a car driving in different real world situations.

Key Points • This study provides real world data on long-term outcomes of five clinical and imaging remission criteria in rheumatoid arthritis.

OBJECTIVES This study describes Comparative Effectiveness Research of CMM versus SCS to provide real world evidence regarding the appropriate means for FBSS management, in terms of Patient-Reported Outcomes Measures.

Traditional clustering algorithms focus on a single clustering result; as such, they cannot explore potential diverse patterns of complex real world data.

All complex real world problems are essentially nonlinear.

Using real world, in situ measurements of circadian thermal fluctuations of beach sediment on Henderson Island and Cocos (Keeling) Islands, we demonstrate that plastics increase circadian temperature extremes.

Using real world Twitter datasets, we show that the model is able to predict false information spreaders with an accuracy of over 87%.

There does not appear to be an increased risk of spontaneous or elective abortion in women who receive duloxetine during pregnancy, according to study results reported in Drugs Real World Outcomes.

Drugs with anticholinergic properties (DAP) increase the risk of death in older adults, according to findings of a nationwide Danish study published in Drugs Real World Outcomes.

Many real world tasks are expressed in MapReduce model, which is a programming model that processes and generated large datasets.

Many real world data can be modeled by a graph with a set of nodes interconnected to each other by multiple relationships.

We implement Whale on top of Apache Storm and conduct comprehensive experiments to evaluate its performance with large-scale real world datasets.

Our method was evaluated on a large-scale real world data set for urban driving and was shown to give promising improvement over the states of the art.

Jiu-liang Zhao: None declared, Xin Liu Employee of: Eli Lilly and Company, Lujing Zhan Employee of: Eli Lilly and Company, Hongyu Tang Employee of: Eli Lilly and Company (Intern), Jinnan Li Employee of: Eli Lilly and Company, Mengru Liu Employee of: Eli Lilly and Company, Elizabeth Holdsworth Consultant of: Eli Lilly and Company, Employee of: Adelphi Real World, Yan Zhao: None declared.

Medical writing support was provided by Gary Sidgwick, PhD (Adelphi Real World, Bollington, UK) and editorial support was provided by Debbie Sherwood, BSc, CMPP (Aspire Scientific, Bollington, UK), both funded by Galapagos NV.

Conclusion In our center representing real world data, PYP scan had similar sensitivity but reduced specificity compared to previously reported data.

The optimization model developed incorporates all these detailed components representing real world scenarios.

Objective To evaluate real world safety, and, immunogenicity of the Covishield vaccine, ChAdOx1 nCoV- 19 Corona Virus Vaccine (Recombinant) in Health Care Workers (HCW) during the national vaccine roll out in the NCR, New Delhi.

Here we evaluate real world, population-based outcomes for Stage IV NSCLC to assess impact of changing therapies on referral, treatment patterns and OS, which may help explain ongoing stigma/nihilism.

3 This letter presents real world experience of management and outcomes of paediatric PwHA with and without inhibitors who underwent surgical procedures while on emicizumab prophylaxis in a large comprehensive haemophilia centre in the United Kingdom.

The aim of this paper is to present real world data on the use of the 360 Express Device.

We visually and quantitatively show the superiority of this approach over traditional end-to-end scene-generation methods on CityFlow, a challenging real world dataset.

Our work is a valuable tool to assess challenging real world hydro-geomechanical systems that may include different levels of complexity like heterogeneous geology with several time and spatial scales and sharp gradients produced by contrasting subsurface properties.

Our approach is geared towards real world scenarios: we expect a solution to be scalable to billions of items, and be able to learn item and attribute relevance automatically from user behavior without human annotations.

Recently Unmanned Aerial Vehicles (UAVs) have evolved considerably towards real world applications, going beyond entertaining activities and use.

Imbalance in dataset enforces numerous challenges to implement data analytic in all existing real world applications using machine learning.

The aim is to improve micro F_{1} of per-word classification on a testing split of an existing real world document dataset.

There has been limited real world evidence addressing lung cancer (LC) patients and the use of same day pegfilgrastim.

So far, very limited real world data on its efficacy is available.

The semantic linked data model is at the core of the Web due to its ability to model real world entities, connect them via relationships and provide context, which could help to transform data into information and information into knowledge.

Differential operators based on convolution definitions have been recognized as powerful mathematics tools to help model real world problems due to the properties associated to their different kernels.

The usefulness of our methods is further demonstrated on two freely available real world data sets from harbour seals.

While oritavancin has demonstrated comparable efficacy with multi-dose parenteral antibiotics in clinical trials and has been proposed as an alternative to admission for emergency department patients, there is a paucity of available real world effectiveness data.

Volumetric video content has attracted increasing research interests over the last decade, as it facilitates the integration of dynamic real world content in virtual environments.

We conclude that the attentional load induced by multitasking can have important consequences when navigating the dynamic real world, and thus needs to be addressed in a variety of daily-living contexts.

In this study, we use real world data from a Thai computer technology research center, where researchers collaborate on different projects and team up to produce a range of artifacts.

We use real world data collected from Long Term Evolution (LTE) systems at two locations for our study.

The minimum viable ontology we formulated by studying the existing literature and applications of Machine learning has been used to devise an Automated Machine Learning implementation to be quantitatively and qualitatively studied in its capabilities to aid intelligence practices of Digital Forensic Investigation agencies in representing, reasoning and forming actionable insights from the vast and varied collected real world data.

Experiments based on the collected real world data demonstrate the effectiveness of our proposed model and method for intelligent pre-diagnosis service in online medical environments.

Targets are prepared by sieving and also dry transfer to mimic real world threats, in trace amounts and on relevant substrates.

The spectroscopic measurement setup was developed to mimic real world conditions and takes into account geometry and technical requirements of a commercial fruit sorting optical module.

Twitter is an ideal setting for the task because it is inherently multimodal, highly emotional, and affects real world events.

This demonstrates that internet search behavior can affect real world patient visits.

This study investigates real world application of a Nurse-Driven Catheter Removal Protocol (NDCRP) to reduce IBC-days in this patient population.

While most sociohydrological flood risk models are stylized and describe hypothetical human-flood systems, very few recent case studies employ empirical data to investigate real world systems.

Results from clinical trials and multiple real world studies have shown that complication rates are low.

Empirical results on multiple real world datasets show that our proposed method significantly improves nearest neighbor search accuracy of a single tree compared to baseline methods.

Therefore, we report real world experience of EBC patients treated with neoadjuvant TCHP followed by curative surgery.

PURPOSE To report real world compliance to radiation in gynecological cancers during the complete lockdown phase of COVID 19 pandemic.

Six real world case studies are presented to show the performance of the proposed model, comparing to 6 existing machine learning models and 17 grey system models.

We justify the proposed model with six real world examples and examine its performance on a recent Twitter dataset.