Gotowe bibliografie tematyczne / Problem Behavior and EEG Record

Spis treści

  1. Artykuły w czasopismach
  2. Rozprawy doktorskie
  3. Książki
  4. Części książek
  5. Streszczenia konferencji

Gotowa bibliografia na temat „Problem Behavior and EEG Record”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Problem Behavior and EEG Record"

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Liu, Longfan, Yan Li, Yan Xiong, Juan Cao, and Ping Yuan. "An EEG study of the relationship between design problem statements and cognitive behaviors during conceptual design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 32, no. 3 (2018): 351–62. http://dx.doi.org/10.1017/s0890060417000683.

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AbstractIn the design process, different problem statements result in different problem-solving strategies. A proper problem statement is the key to effective problem-solving. Based on the characteristics of the product design process, we divided design problem statements into open-ended (OE), decision-making (DM), and constrained (CO) statements and attempted to investigate the influences of different problem statements on designers’ cognitive behaviors from three perspectives, namely divergent thinking, convergent thinking, and mental workload. Then we provided quantification description to
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Fahland, Dirk, Vadim Denisov, and Wil M. P. van der Aalst. "Inferring Unobserved Events in Systems with Shared Resources and Queues." Fundamenta Informaticae 183, no. 3-4 (2022): 203–42. http://dx.doi.org/10.3233/fi-2021-2087.

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To identify the causes of performance problems or to predict process behavior, it is essential to have correct and complete event data. This is particularly important for distributed systems with shared resources, e.g., one case can block another case competing for the same machine, leading to inter-case dependencies in performance. However, due to a variety of reasons, real-life systems often record only a subset of all events taking place. To understand and analyze the behavior and performance of processes with shared resources, we aim to reconstruct bounds for timestamps of events in a case
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Vyas, Manoj Rameshachandra, Manish Tyagi, and Rohit Kumar Sharma. "Data-driven approach for effective fatigue detection in drivers during driving events." Multidisciplinary Science Journal 5 (September 5, 2023): 2023ss0407. http://dx.doi.org/10.31893/multiscience.2023ss0407.

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The effectiveness of transportation and the safety of the road depend heavily on drivers during driving events. The way people drive, and the likelihood of accidents or other occurrences may both be strongly impacted by their actions and behaviors. Promoting safe and sensible driving behaviors requires an understanding of the traits and variables that affect drivers during driving incidents. The rising number of traffic accidents highlights the critical necessity to rein in and lessen the prevalence of careless driving. One of the most common causes of these serious mistakes is drowsiness whil
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Alroy, John. "Global databases will yield reliable measures of global biodiversity." Paleobiology 29, no. 1 (2003): 26–29. http://dx.doi.org/10.1666/0094-8373(2003)029<0026:gdwyrm>2.0.co;2.

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For decades, paleobiologists have treated global diversity estimation as a straightforward problem (Miller 2000): count up the known higher taxa in each geological time interval, make a diversity curve, and go straight ahead to analyzing and interpreting the trends. However, global diversity curves recently have come under attack from all sides. Some researchers argue that although traditional curves are strongly affected by sampling biases (e.g., Smith 2001; Peters and Foote 2002), these biases can be corrected by assembling large, locality-level databases with detailed contextual information
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ANGEL, OMER, RICHÁRD BALKA, and YUVAL PERES. "Increasing subsequences of random walks." Mathematical Proceedings of the Cambridge Philosophical Society 163, no. 1 (2016): 173–85. http://dx.doi.org/10.1017/s0305004116000797.

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AbstractGiven a sequence of n real numbers {Si}i⩽n, we consider the longest weakly increasing subsequence, namely i1 &lt; i2 &lt; . . . &lt; iL with Sik ⩽ Sik+1 and L maximal. When the elements Si are i.i.d. uniform random variables, Vershik and Kerov, and Logan and Shepp proved that ${\mathbb E} L=(2+o(1)) \sqrt{n}$.We consider the case when {Si}i⩽n is a random walk on ℝ with increments of mean zero and finite (positive) variance. In this case, it is well known (e.g., using record times) that the length of the longest increasing subsequence satisfies ${\mathbb E} L\geq c\sqrt{n}$. Our main re
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Chung, Gregory. "Toward the Relational Management of Educational Measurement Data." Teachers College Record: The Voice of Scholarship in Education 116, no. 11 (2014): 1–16. http://dx.doi.org/10.1177/016146811411601115.

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Background Historically, significant advances in scientific understanding have followed advances in measurement and observation. As the resolving power of an instrument increased, so have gains in the understanding of the phenomena being observed. Modern interactive systems are potentially the new “microscopes” when they are instrumented to record fine-grained observations of what students do in an online task. Advances in the conceptualization, design, and analyses of such interaction data enable the discovery of learning patterns and can power new applications. One application, personalizati
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Arnadottir, Audur Thora, Gudmundur F. Ulfarsson, and Sungyop Kim. "Single-vehicle injury crashes on rural roads in Iceland: contribution of unforgiving roadsides to fatal and serious injuries of vehicle occupants." Traffic Safety Research 9 (January 24, 2025): e000083. https://doi.org/10.55329/bkrk9175.

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About 50% of the most severe crashes on rural roads in Iceland are run-off-road crashes. Many existing roads were designed before the concept of forgiving roadsides became prevailing in road design in Iceland. This research aimed to find the roadside elements that significantly increase the probability of high severity of single-vehicle injury crashes compared to low severity crashes on rural roads to prioritize safety improvements under limited budgets. In this research, 712 police records on single-vehicle injury crashes on rural state roads in Iceland in 2016–2018 were investigated. Crash d
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Pardhi, Amol, and Suchita Varade. "Ambulatory EEG Data Management System for Home Care Epileptic Patients." International Journal of Ambient Computing and Intelligence 13, no. 1 (2022): 1–15. http://dx.doi.org/10.4018/ijaci.311500.

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Epilepsy is an instance-based incident that occurs in a patient's behavior without prior intimation. However, it may be predicted through pre-seizure behavioral changes and that is the period when electroencephalogram (EEG) signals need to be recorded in case of the patient. Doctors or researchers may have the solution to record these EEG signals, but generating the seizure situation by any means or by provoking the patient is not an ethical practice. Doctors suggest therapy or treatment based on behavioral knowledge and without actual mental situations. The only solution to this is to encoura
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Campanaro, Celia M., Jose Carlos Pereira, Jose Hugo Lins Pessoa, Marcia Pradella Halimann, and Monica Favoreto. "Descriptive Study: sleep disorders breathing and Polysomnographic changes in Children and Adolescents with Sickle Cell Disease." Blood 118, no. 21 (2011): 4849. http://dx.doi.org/10.1182/blood.v118.21.4849.4849.

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Abstract Abstract 4849 Introduction: -Sickle Cell Disease (SCD) is a chronic inflammatory disease and a public health problem in Brazil, due its prevalence and Brazilian people high miscegenation. The hypoxia is one of the trigger for vessel occlusive crises in SCD and the quality of sleep is important to maintain a good tissue oxygenation. The search for sleep-disordered breathing (SDB) must be made based on history, physical examination and polysomnography (PSN). These include the diagnosis of airway obstruction and sleep apnea/hypopnea, obstructive syndrome (SAHOS). The objective confirmati
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Ding, Yueqing, Kaiqi Lei, and Jianhua Yang. "EVOLUTION TREND AND HOT ISSUES OF GROUNDWATER ENVIRONMENT RESEARCH IN RECENT 40 YEARS BASED ON EMOTIONAL BEHAVIOR CHANGES: A SUMMARY OF SCIENTIFIC ECONOMETRIC ANALYSIS FROM 1981 TO 2021." International Journal of Neuropsychopharmacology 25, Supplement_1 (2022): A47—A48. http://dx.doi.org/10.1093/ijnp/pyac032.065.

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Abstract Background Groundwater pollution has become an important factor restricting regional economic development and environmental protection. The prevention and control of groundwater pollution has always been the focus of water resources management scholars. The purpose of this study is to systematically evaluate the knowledge system of groundwater pollution prevention and control from 1981 to 2021, and to explore the research trend and hot spots of groundwater pollution prevention and control knowledge system. And the emotional and behavioral changes of water conservancy workers. Topics a
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Rozprawy doktorskie na temat "Problem Behavior and EEG Record"

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"Process- versus outcome-focused counterfactual." Thesis, 2009. http://library.cuhk.edu.hk/record=b6074942.

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After a negative consumption experience, consumers often like to muse about how their consumption might have turned out better. For example, a traveler who missed a flight may imagine that "if I had taken another transport to the airport, I might have caught the flight," or "I would have been enjoying my vacation if I had caught the flight." These imaginations, called counterfactual thoughts, have been documented to pose two effects on responses to negative consumptions. On one hand, they are functional because they provide corrective information that helps consumers solve problems associated
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Battistoni, Paul D. "The effects of adjudicated students of the behavior and academic achievement of non-adjudicated students in a residential treatment facility /." 2005. http://www.consuls.org/record=b2742892.

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Thesis (M.S.) -- Central Connecticut State University, 2005.<br>Thesis advisor: Damon Mitchell. "... in partial fulfillment of the requirements for the degree of Master of Science in Criminal Justice." Includes bibliographical references (leaves 42-46). Also available via the World Wide Web.
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Książki na temat "Problem Behavior and EEG Record"

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Shaibani, Aziz. Pseudoneurologic Syndromes. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190661304.003.0022.

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The term functional has almost replaced psychogenic in the neuromuscular literature for two reasons. It implies a disturbance of function, not structural damage; therefore, it defies laboratory testing such as MRIS, electromyography (EMG), and nerve conduction study (NCS). It is convenient to draw a parallel to the patients between migraine and brain tumors, as both cause headache, but brain MRI is negative in the former without minimizing the suffering of the patient. It is a “software” and not a “hardware” problem. It avoids irritating the patient by misunderstanding the word psychogenic whi
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Suicide Mortality in the Americas. Regional Report 2010–2014. Pan American Health Organization, 2021. http://dx.doi.org/10.37774/9789275123300.

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Suicide is a serious public health problem surrounded by stigma, myths, and taboos. With an annual average of 81,746 suicide deaths in the period 2010–2014 and an age-adjusted suicide rate of 9.3 per 100,000 population (age-unadjusted rate of 9.6), suicide continues to be a public health problem of great relevance in the Region of the Americas. Contrary to common belief, suicides are preventable with timely, evidence-based, and often low-cost interventions. It is estimated that for each suicide that occurs, there are more than 20 attempts. Suicide can occur at any age and it is the third highe
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Części książek na temat "Problem Behavior and EEG Record"

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Augusto, Adriano, Josep Carmona, and Eric Verbeek. "Advanced Process Discovery Techniques." In Lecture Notes in Business Information Processing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08848-3_3.

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AbstractGiven the challenges associated to the process discovery task, more than a hundred research studies addressed the problem over the past two decades. Despite the richness of proposals, many state-of-the-art automated process discovery techniques, especially the oldest ones, struggle to systematically discover accurate and simple process models. In general, when the behavior recorded in the input event log is simple (e.g., exhibiting little parallelism, repetitions, or inclusive choices) or noise free, some basic algorithms such as the alpha miner can output accurate and simple process m
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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-98062-7_8-1.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production
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Lockner, Yannik, Paul Buske, Maximilian Rudack, et al. "Improving Manufacturing Efficiency for Discontinuous Processes by Methodological Cross-Domain Knowledge Transfer." In Internet of Production. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-44497-5_8.

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AbstractDiscontinuous processes face common tasks when implementing modeling and optimization techniques for process optimization. While domain data may be unequal, knowledge about approaches for each step toward the solution, e.g., data gathering, model reduction, and model optimization, may be useful across different processes. A joint development of methodologies for machine learning methods, among other things, ultimately supports fast advances in cross-domain production technologies. In this work, an overview of common maturation stages of data-intensive modeling approaches for production
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Nundy, Amitabh. "Alcoholism with Tremors (Anxiety-Depression, Behavior Problem)." In Neuroscience EEG Atlas. Jaypee Brothers Medical Publishers (P) Ltd., 2016. http://dx.doi.org/10.5005/jp/books/12724_8.

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Pincus, Jonathan H., and Gary J. Tucker. "Epilepsy and Behavior." In Behavioral Neurology. Oxford University PressNew York, NY, 2002. http://dx.doi.org/10.1093/oso/9780195137811.003.0001.

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Abstract Epilepsy is a recurring behavioral, sensory, or subjective experience caused by an abnormal electrical discharge in the brain. Though abnormal electrical changes accompany seizures of any kind, they may not be reflected in the electroencephalogram (EEG) between seizures and sometimes epileptic EEG discharges occur in the absence of clinically apparent seizures. Generalized seizures always cause a disturbance in consciousness and the EEG is virtually always abnormal during such seizures. Partial seizures may not be associated with unconsciousness, with any abnormal movement, or with an
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Kearney, Christopher A., and Anne Marie Albano. "Assessment." In When Children Refuse School. Oxford University Press, 2018. http://dx.doi.org/10.1093/med-psych/9780190604059.003.0002.

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Chapter 2 provides an overview of the recommended assessment process for youths with school refusal behavior. The purpose of formally assessing a child with school refusal behavior is to obtain answers to three critical questions: What is the behavior problem? What is maintaining school refusal behavior? and What is the best treatment for school refusal behavior? Recommended assessment methods such as interviews, child self-report measures, and parent and teacher checklists are presented. The chapter also presents descriptive procedures (such as questionnaires to initially identify variables t
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Kearney, Christopher A. "Understanding Your Child’s School Attendance Problem." In Getting Your Child Back to School. Oxford University Press, 2021. http://dx.doi.org/10.1093/med-psych/9780197547496.003.0002.

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This chapter is designed to help parents keep track of and record their child’s attendance, level of distress, and morning behavior problems. The chapter is designed to assist parents in becoming more aware of a child’s actual time in school, identify how their child’s behavior changes during the week, discover why their child is having trouble attending school, seeing whether the methods in the book are indeed working, exchange more detailed information with school officials and others, and look for signs that a school attendance problem may be recurring after the initial problem was fixed. W
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Saridas, Furkan, and Aylin Bican Demir. "The Role of Video EEG Monitoring in Epilepsy Diagnosis and Treatment Processes." In Current Treatments for Epilepsy [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1008911.

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Electroencephalography (EEG) remains clinically essential for the classification and diagnosis of epilepsy. Video-EEG is a combined, up-to-date record of the EEG and the patient’s clinical behavior. It allows clinical signs and symptoms already acquired in the patient’s past clinical history to be correlated with final EEG changes. Video-EEG monitoring (VEM) is a critical tool for the differential diagnosis, differentiation, and pre/post-treatment evaluation of epilepsy. It provides a detailed description of clinical symptoms and analysis of associated EEG changes. It is the gold standard for
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Doleys, Daniel M., and Nicholas D. Doleys. "An All-Consuming Problem." In Psychological and Psychiatric Issues in Patients with Chronic Pain, edited by Daniel M. Doleys and Nicholas D. Doleys. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780197544631.003.0008.

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This case is particularly relevant in the chronic pain setting. Patients seeking medical management, especially if they specify a particular opioid, are viewed with great suspicion. Caution is useful, but a proper assessment is necessary. A targeted prescreening can be beneficial to both the clinician and patient. It is critical to understand the difference between abnormal (aberrant) drug behavior, substance (opioid) use disorder, and addiction. All too often, a label, especially addiction, is applied inappropriately but becomes part of the medical record and follows the patient, creating a b
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Tu, Peng, and Shuicheng Tian. "Research on Fatigue Identification of Support Workers Based on Fatigue-Induced Experiments." In Advances in Transdisciplinary Engineering. IOS Press, 2024. https://doi.org/10.3233/atde241135.

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In order to detect the fatigue state of support workers in time and prevent coal mine accidents. In this paper, the monotonous repetitive key pressing behavior after the increase of long-term running exercise load was used to simulate the physical fatigue and partial mental fatigue of support workers. RPE scale and heart rate were used to record fatigue induced in real time, Oddball paradigm was used to record the participants’ behavioral data indicators, and EEG devices were used to synchronously record the changes of the participants’ EEG signals. The changes of EEG signals and behavioral da
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Streszczenia konferencji na temat "Problem Behavior and EEG Record"

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Sifar, Anjali, and Nisheeth Srivastava. "Imprecise Oracles Impose Limits to Predictability in Supervised Learning (Extended Abstract)." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/661.

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Supervised learning operates on the premise that labels unambiguously represent ground truth. This premise is reasonable in domains wherein a high degree of consensus is easily possible for any given data record, e.g. in agreeing on whether an image contains an elephant or not. However, there are several domains wherein people disagree with each other on the appropriate label to assign to a record, e.g. whether a tweet is toxic. We argue that data labeling must be understood as a process with some degree of domain-dependent noise and that any claims of predictive prowess must be sensitive to t
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Amin, Hafeez Ullah, Aamir Saeed Malik, Muhammad Hussain, Nidal Kamel, and Weng-Tink Chooi. "Brain behavior during reasoning and problem solving task: An EEG study." In 2014 5th International Conference on Intelligent and Advanced Systems (ICIAS). IEEE, 2014. http://dx.doi.org/10.1109/icias.2014.6869515.

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Vieira, Sonia, John Gero, Jessica Delmoral, et al. "Understanding the Design Neurocognition of Mechanical Engineers When Designing and Problem-Solving." In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-97838.

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Abstract This paper presents results from an experiment to determine brain activation differences between problem-solving and designing of mechanical engineers. The study is part of a research project whose goal is to correlate design cognition with brain behavior across design domains. The study adopted and extended the tasks described in a fMRI study of design cognition and measured brain activation using EEG. By taking the advantage of EEG’s temporal resolution we focus on time-related neural responses during problem-solving compared to design tasks. Statistical analyses indicate increased
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Kornev, Denis, Roozbeh Sadeghian, Stanley Nwoji, Qinghua He, Amir Gandjbbakhche, and Siamak Aram. "Machine Learning-Based Gaming Behavior Prediction Platform." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001826.

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Brain disorders caused by Gaming Addiction drastically increased due to the rise of Internet users and Internet Gaming auditory. Driven by such a tendency, in 2018, World Health Organization (WHO) and the American Medical Association (AMA) addressed this problem as a “gaming disorder” and added it to official manuals. Scientific society equipped by statistical analysis methods such as t-test, ANOVA, and neuroimaging techniques, such as functional magnetic resonance imaging (fMRI), positron emission tomography (PET), and electroencephalography (EEG), has achieved significant success in brain ma
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Maghelal, Praveen. "Integrating Ergonomics, Biomechanics, and Driving Behavior in a Virtual Environment: Developing a Transactional Framework." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002606.

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The World Health Organization identifies road traffic injuries are a global health problem. The Global Status Report on Road Safety 2015 (2015) reported that Urgent action is needed to deal with this health epidemic. This is significant because, it is predicted that without addressing this issue head-on, traffic crashes are predicted to become the seventh leading cause of death by 2030. the Sustainable Development Agenda 2030 proposed to reduce the global deaths and injuries occurring from road traffic crashes to half by 2030 (WHO). It in acknowledged that major cause of traffic accidents is a
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Miyago, Kentaro, Kenyu Uehara, and Takashi Saito. "Examination of Correlation Between Arousal Level and Auditory Environmental Change Using Rock and Classic Music." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-71361.

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Recently, traffic accidents due to drowsy driving, operation mistake in the power plant by drowsiness and decrease arousal in employment during work have been attracted as problems. To avoid such an accident, arousal level could be quantitatively evaluated in real time. We suggested that the one of the parameters of Duffing oscillator parameters is related to the conventional arousal level using the EEG frequency component. However, in this examination, effects on the EEG from visual and active behavior were considered, but those from hearing also need to be investigated. In this paper, we per
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Uehara, Kenyu, and Takashi Saito. "Model-Based EEG Analysis: Proposal and Verification of Mathematical Model for Application to Neurotechnology." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11643.

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Abstract We have modeled dynamics of EEG with one degree of freedom nonlinear oscillator and examined the relationship between mental state of humans and model parameters simulating behavior of EEG. At the IMECE conference last year, Our analysis method identified model parameters sequentially so as to match the waveform of experimental EEG data of the alpha band using one second running window. Results of temporal variation of model parameters suggested that the mental condition such as degree of concentration could be directly observed from the dynamics of EEG signal. The method of identifyi
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Martins, Mariana Crisostomo, Taciana Novo Kudo, and Renato F. Bulcão-Neto. "Evaluation of Software Requirement Patterns for Electronic Health Record Systems." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.246600.

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Context: An Electronic Health Record System (EHR-S) captures, stores, presents, transmits, or prints health information that allows the individualization of a patient. An EHR-S can be classified into one or more categories, depending on its scope (e.g., an electronic prescription system). Problem: Despite existing several software requirements in common between these categories, much effort and time may be spent in the development of such complex systems, specially in requirements engineering. Solution: We developed a Software Requirement Patterns Catalogue (SRPC), which groups analogous behav
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Demir, Gizem Derya, Salih Yildiz, Ali Gursel, Kerim Tuna Ikikardaslar, and Feridun Delale. "Influence of Bondline Thickness on the Performance of Adhesive Joints Under Ballistic Peel Impact." In ASME 2023 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/imece2023-113986.

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Abstract As structural adhesive technology advances, adhesive joints provide attractive advantages over conventional fastening methods. Since welding, riveting, and bolting may cause nonuniform stress distribution across the joint, and in many cases cannot be used to bond dissimilar materials such as composites to metals, adhesive joining may be considered as an alternative joining method. It is well known that the geometry of adhesive joints as well as their material properties and the adhesive thickness may affect their performance. In this study, an adhesive joint consisting of an aluminum
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Kamarowski, Bruno, Raul Almeida, Bernardo Biesseck, Roger Granada, Gustavo Führ, and David Menotti. "Multi-challenge database for active liveness." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sibgrapi.est.2023.27461.

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Facial authentication on mobile devices has been widely applied in various scenarios. The field of Face Liveness (or Face Anti-Spoofing, FAS) focuses on methods and tools for detecting attacks (spoofs) where a malicious user tries to impersonate someone else or obfuscate their own identity. The specific problem of Active Liveness consists of analyzing the input signal and also the user behavior while performing some required challenge to determine whether the presented face is real or not. Despite the large amount of public datasets in FAS, very few contemplate active liveness, a phenomenon th
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Artykuły w czasopismach
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Do bibliografii