ML Research Papers - Academia.edu (original) (raw)

Internet has taken over the world. Everything today is online and data driven. Due to COVID-19, ecommerce has seen a boost like nothing else. With internet and its efficiency and effectiveness comes into play, cybercrimes. There are criminals everywhere trying to steal your data and use your account for their personal uses. Due to this, cybersecurity is very important. Artificial Intelligence and its subset Machine Learning have taken cyber security to the next level. With self progressing algorithms, they have added the extra layer of security that is required

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- Artificial Intelligence, Machine Learning, Security, Ecommerce
- by Mohan Dhayal
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- ML
- by Mohammad Reza Gholami
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- Wireless Sensor Networks, Localization, RSS, ML
- by Terence Fogarty
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- Cognitive Science, Machine Learning, ML
- by Tai Tran
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- ML, MIMO, Alamouti Scheme, BER

- by IAEME Publication
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- Artificial Intelligence, Machine Learning, Security, Ecommerce
- by Andrea Dalton
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- Testing, ML, ELT, Assessments

This paper introduces 5G-CLARITY, a 5G-PPP project exploring beyond 5G private networks integrating heterogeneous wireless access including 5GNR, WiFi, and LiFi. The project targets enhancements to current 5GNR performance including multi-connectivity and indoor positioning accuracy. It also develops novel management enablers that allow to operate the private network with a high level intent interface, while being able to natively embed Machine Learning (ML) functions.

- by Tezcan Cogalan
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- Computer Science, Machine Learning, ML, WiFI
- by Rupert Till
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- Music, Popular Music Studies, Art, Popular Music

Abstract. Learning by explaining failures and avoiding similar ones thereafter is an attractive way to speed up problem solving. However, previous methods for explanation-based learning from failure can take too long to detect failures,... more

- by Jack Mostow
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- Cognitive Science, Machine Learning, Problem Solving, ML
- by iaeme iaeme
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- Wireless Communications, OFDM, ML, Pso
- by frank krutnik
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- Art, Film Studies, Jazz, ML

Abstract This paper deals with the performance analysis of channel estimation methods for LTE downlink system over time varying mobile environments. The analysis of channel estimation in the presence of interference is also done. Least... more

- by Rajeswari Ramanthan
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- Engineering, Wireless Communications, Performance Analysis, ML
- by Floriana Esposito
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- Cognitive Science, Machine Learning, Data Mining, Engineering Design
- by Rajeswari Ramanthan
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- Wireless Communications, ML, Channel Estimation, MMSE

ObjectivesPerception and attitude regarding prenatal screening and induced abortion vary across different populations. This study assesses the attitudes and perceptions regarding prenatal screening and induced abortion among Pakistani adults.Perception and attitude regarding prenatal screening and induced abortion vary across different populations. This study assesses the attitudes and perceptions regarding prenatal screening and induced abortion among Pakistani adults.MethodsWe conducted a cross-sectional study among adults (18+) coming to the Aga Khan University Hospital, a private tertiary care hospital in Karachi, Pakistan.We conducted a cross-sectional study among adults (18+) coming to the Aga Khan University Hospital, a private tertiary care hospital in Karachi, Pakistan.ResultsMajority (65%) of the study population had knowledge about prenatal screening and it was acceptable to most (85.5%) of them. Significant proportion had high acceptance for induced abortion (23%) of a fetus that has serious congenital anomalies. On the other hand, 15% were unwilling to consider termination of pregnancy (TOP) in any circumstances. Women had more favorable attitude toward induced abortion. Most of the respondents (63%) were in favor of abortion if fetal death was imminent as a result of a congenital abnormality. Majority wanted mutual consultation of husband and wife for making decision regarding induced abortion (84%).Majority (65%) of the study population had knowledge about prenatal screening and it was acceptable to most (85.5%) of them. Significant proportion had high acceptance for induced abortion (23%) of a fetus that has serious congenital anomalies. On the other hand, 15% were unwilling to consider termination of pregnancy (TOP) in any circumstances. Women had more favorable attitude toward induced abortion. Most of the respondents (63%) were in favor of abortion if fetal death was imminent as a result of a congenital abnormality. Majority wanted mutual consultation of husband and wife for making decision regarding induced abortion (84%).ConclusionThere was a considerable discord in opinion about abortion in the study population. Health care providers should involve both parents in making decisions about abortions and counsel them adequately about congenital disorders. Copyright © 2008 John Wiley & Sons, Ltd.There was a considerable discord in opinion about abortion in the study population. Health care providers should involve both parents in making decisions about abortions and counsel them adequately about congenital disorders. Copyright © 2008 John Wiley & Sons, Ltd.

- by Ali Altaf
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- ML, Mmlm, Mnmkij

The article deals with the problem of learning incrementally (‘on-line’) in domains where the target concepts are context-dependent, so that changes in context can produce more or less radical changes in the associated concepts. In particular, we concentrate on a class of learning tasks where the domain provides explicit clues as to the current context (e.g., attributes with characteristic values).

- by Gerhard Widmer
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- Cognitive Science, Computer Science, Machine Learning, OPERATING SYSTEM
- by Levent Akin
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- Engineering, Robotics, Decision Making, ML
- by Sally Goldman
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- Cognitive Science, Machine Learning, ML, Algorithm Design
- by Buluc Celik and +1
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- Robotics, ML, Robot Soccer, MCL

At this present scenario, the demand of the system capacity is very high in wireless network. MIMO technology is used from the last decade to provide this requirement for wireless network antenna technology. MIMO channels are mostly used for advanced antenna array technology. But it is most important to control the error rate with enhanced system capacity in MIMO for present-day progressive wireless communication. This paper explores the frame error rate with respect to different path gain of MIMO channel. This work has been done in different fading scenario and produces a comparative analysis of MIMO on the basis of those fading models in various conditions. Here, it is to be considered that modulation technique as QPSK to observe these comparative evaluations for different Doppler frequencies. From the comparative analysis, minimum amount of frame error rate is viewed for Rician distribution at LOS path Doppler shift of 0 Hz. At last, this work is concluded with a comparative bit error rate study on the basis of singular parameters at different SNR levels to produce the system performance for uncoded QPSK modulation.

This chapter explores the work of three female musicians – Sandy Denny, Judy Collins and Nina Simone – whose work offers valuable insights into the interplay of history, biography and memory. It focuses specifically on the representation of innocence and experience via the "late voice". "Lateness", a concept exemplified by these artists but which extends to a broad range of modern (post mid-twentieth century) popular musics, refers to five primary issues: chronology (the stage in an artist's career); the vocal act (the ability to convincingly portray experience); afterlife (posthumous careers made possible by phonography); retrospection (how voices "look back" or anticipate looking back); and the writing of age, experience, lateness and loss into song texts. The main case study of the chapter is the song ‘Who Knows Where the Time Goes’, written by Denny and later performed by Collins and Simone. The song is analysed in terms of its representation of...

- by Richard Elliott
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- Music, Musicology, Popular Music, Aging

Machine Learning (ML) is an important component of computer science and a mainstream way of making sense of large amounts of data. Although the technology is establishing new possibilities in different fields, there are also problems to consider, one of which is bias. Due to the inductive reasoning of ML algorithms in creating mathematical models, the predictions and trends found by the models will never necessarily be true – just more or less probable. Knowing this, it is unreasonable for us to expect the applied deductive reasoning of these models to ever be fully unbiased. Therefore, it is important that we set expectations for ML that account for the limitations of reality. The current conversation of ML regards how and when to implement the technology to mitigate the effect of bias on its results. This thesis suggests that the question of “whether” should be addressed first. We tackle the issue of bias from the standpoint of justice and fairness in ML, developing a framework tasked with determining whether the implementation of a specific ML model is warranted. We accomplish this by emphasizing the liberal values that drive our definitions of societal fairness and justice, such as the separateness of persons, moral evaluation, freedom and understanding of choice, and accountability for wrongdoings

- by Bardia Bijani Aval
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- Computer Science, Artificial Intelligence, Ethics, Applied Ethics

- by Ali Baba
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- Genetics, Obstetrics, Perception, Decision Making
- by Muhammad Arif
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- Genetics, Obstetrics, Perception, Decision Making
- by Robert Reinke and +1
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- Cognitive Science, Machine Learning, ML, Conceptual Clustering
- by Osman Arif
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- Genetics, Obstetrics, Perception, Decision Making
- by Sally Goldman
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- Cognitive Science, Machine Learning, ML, Algorithm Design
- by Mohammad Reza Gholami
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- ML, CRLB, Least Squares, Cooperative Robot Localization