Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Tariqullah Jan"'
Autor:
Abbas Ali, Abdullah Shah, Azaz Hassan Khan, Malik Umar Sharif, Zaka Ullah Zahid, Rabia Shahid, Tariqullah Jan, Mohammad Haseeb Zafar
Publikováno v:
Alexandria Engineering Journal, Vol 96, Iss , Pp 1-14 (2024)
Software-based technical indicators have been widely used for the stock market forecasting, aiming to predict market direction. Even though many algorithms for the software based technical indicators are presented, there are almost no hardware implem
Externí odkaz:
https://doaj.org/article/5ebb1edb2cba4c32940e111990de78ac
Autor:
Syed Asghar Ali Shah, Tariqullah Jan, Syed Muslim Shah, Muhammad Asif Zahoor Raja, Mohammad Haseeb Zafar, Sana Ul Haq
Publikováno v:
PLoS ONE, Vol 19, Iss 6, p e0304018 (2024)
Fractional order algorithms demonstrate superior efficacy in signal processing while retaining the same level of implementation simplicity as traditional algorithms. The self-adjusting dual-stage fractional order least mean square algorithm, denoted
Externí odkaz:
https://doaj.org/article/8d846aa56e2c41cd95eb5d979527b5fb
Autor:
Azaz Hassan Khan, Abdullah Shah, Abbas Ali, Rabia Shahid, Zaka Ullah Zahid, Malik Umar Sharif, Tariqullah Jan, Mohammad Haseeb Zafar
Publikováno v:
PLoS ONE, Vol 18, Iss 9, p e0286362 (2023)
Stock market forecasting is one of the most challenging problems in today's financial markets. According to the efficient market hypothesis, it is almost impossible to predict the stock market with 100% accuracy. However, Machine Learning (ML) method
Externí odkaz:
https://doaj.org/article/044ab253743b4e608d186262187f685f
Publikováno v:
PeerJ Computer Science, Vol 9, p e1183 (2023)
Biometrics is the measurement of an individual’s distinctive physical and behavioral characteristics. In comparison to traditional token-based or knowledge-based forms of identification, biometrics such as fingerprints, are more reliable. Fingerpri
Externí odkaz:
https://doaj.org/article/cb70d9f0c8df465099301dfe0159710e
Publikováno v:
IEEE Access, Vol 8, Pp 132871-132881 (2020)
Blind Source Separation (BSS) application is a delinquent issue in a complex reverberant environment with changing room geometric dimensions and an increasing number of speech sources. The BSS application issue is determined by the independent compon
Externí odkaz:
https://doaj.org/article/d30439a2f2034c508aef7f151ce16559
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 38, Iss 4, Pp 915-922 (2019)
A novel low-profile and miniaturized patch antenna on a substrate material of high dielectric constant has been designed, fabricated and tested in an indigenous laboratory. It is highly important to reduce the size of patch antenna as it limits the r
Externí odkaz:
https://doaj.org/article/7dedc357d1874c8a8651b46416f169b2
Autor:
Kashif Noor, Tariqullah Jan, Mohammed Basheri, Amjad Ali, Ruhul Amin Khalil, Mohammad Haseeb Zafar, Majad Ashraf, Mohammad Inayatullah Babar, Syed Waqar Shah
Publikováno v:
IEEE Access, Vol 7, Pp 5760-5768 (2019)
Fingerprint recognition is best known and generally used as a biometric technology because of their high acceptability, immutability, and uniqueness. A fingerprint consists of ridges and valleys pattern also known as furrows. These patterns fully dev
Externí odkaz:
https://doaj.org/article/a163be1beca146729b003aa62ca3a5d4
Autor:
Ruhul Amin Khalil, Edward Jones, Mohammad Inayatullah Babar, Tariqullah Jan, Mohammad Haseeb Zafar, Thamer Alhussain
Publikováno v:
IEEE Access, Vol 7, Pp 117327-117345 (2019)
Emotion recognition from speech signals is an important but challenging component of Human-Computer Interaction (HCI). In the literature of speech emotion recognition (SER), many techniques have been utilized to extract emotions from signals, includi
Externí odkaz:
https://doaj.org/article/ca0fffb514fd4086a9fd1f54ae8c3796
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5968 (2021)
This paper proposes a novel efficient multistage algorithm to extract source speech signals from a noisy convolutive mixture. The proposed approach comprises two stages named Blind Source Separation (BSS) and de-noising. A hybrid source prior model s
Externí odkaz:
https://doaj.org/article/b92093a3c2254dfd93e5c1e6b6f695e1
Publikováno v:
Mehran University Research Journal of Engineering and Technology, Vol 35, Iss 4, Pp 581-588 (2016)
In this paper a blind estimation approach is proposed which directly utilizes the reverberant signal for estimating the RT (Reverberation Time).For estimation a very well-known method is used; MLE (Maximum Likelihood Estimation). Distribution of th
Externí odkaz:
https://doaj.org/article/50198505d8f64ecca780c8cc19b238cf