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  1. Article ; Online: Emotion recognition with reduced channels using CWT based EEG feature representation and a CNN classifier.

    Mahmud, Md Sultan / Fattah, Shaikh Anowarul / Saquib, Mohammad / Saha, Oishy

    Biomedical physics & engineering express

    2024  Volume 10, Issue 4

    Abstract: Objective. ...

    Abstract Objective.
    MeSH term(s) Humans ; Electroencephalography/methods ; Emotions ; Wavelet Analysis ; Algorithms ; Neural Networks, Computer ; Signal Processing, Computer-Assisted ; Entropy ; Arousal/physiology
    Language English
    Publishing date 2024-04-30
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2057-1976
    ISSN (online) 2057-1976
    DOI 10.1088/2057-1976/ad31f9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: Low Complexity Iterative 2D DOA Estimation in MIMO Systems

    Hasan, Md Imrul / Saquib, Mohammad

    2023  

    Abstract: Multiple-input multiple-output (MIMO) systems play an essential role in direction-of-arrival (DOA) estimation. A large number of antennas used in a MIMO system imposes a huge complexity burden on the popular DOA estimation algorithms, such as MUSIC and ... ...

    Abstract Multiple-input multiple-output (MIMO) systems play an essential role in direction-of-arrival (DOA) estimation. A large number of antennas used in a MIMO system imposes a huge complexity burden on the popular DOA estimation algorithms, such as MUSIC and ESPRIT due to the implementation of eigenvalue decomposition. This renders those algorithms impractical in applications requiring quick DOA estimation. Consequently, we theoretically derive several useful noise subspace vectors when the number of signal sources is less than the number of elements in both the transmitter and receiver sides. Those noise subspace vectors are then utilized to formulate a 2D-constrained minimization problem, solved iteratively to obtain the DOAs of all the sources in a scene. The convergence of the proposed iterative algorithm has been mathematically as well as numerically demonstrated. Depending on the number of iterations, our algorithm can provide significant complexity gain over the existing high-resolution 2D DOA estimation algorithms in MIMO systems, such as MUSIC, while exhibiting comparable performance for a moderate to high signal-to-noise ratio (SNR).
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 003
    Publishing date 2023-03-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: A Fast Effective Greedy Approach for MU-MIMO Beam Selection in mm-Wave and THz Communications

    Murshed, Rafid Umayer / Ullah, Md Saheed / Saquib, Mohammad

    2024  

    Abstract: This paper addresses the beam-selection challenges in Multi-User Multiple Input Multiple Output (MU-MIMO) beamforming for mm-wave and THz channels, focusing on the pivotal aspect of spectral efficiency (SE) and computational efficiency. We introduce a ... ...

    Abstract This paper addresses the beam-selection challenges in Multi-User Multiple Input Multiple Output (MU-MIMO) beamforming for mm-wave and THz channels, focusing on the pivotal aspect of spectral efficiency (SE) and computational efficiency. We introduce a novel approach, the Greedy Interference-Optimized Singular Vector Beam-selection (G-IOSVB) algorithm, which offers a strategic balance between high SE and low computational complexity. Our study embarks on a comparative analysis of G-IOSVB against the traditional IOSVB and the exhaustive Singular-Vector Beamspace Search (SVBS) algorithms. The findings reveal that while SVBS achieves the highest SE, it incurs significant computational costs, approximately 162 seconds per channel realization. In contrast, G-IOSVB aligns closely with IOSVB in SE performance yet is markedly more computationally efficient. Heatmaps vividly demonstrate this efficiency, highlighting G-IOSVB's reduced computation time without sacrificing SE. We also delve into the mathematical intricacies of G-IOSVB, demonstrating its theoretical and practical superiority through rigorous expressions and detailed algorithmic analysis. The numerical results illustrate that G-IOSVB stands out as an efficient, practical solution for MU-MIMO systems, making it a promising candidate for high-speed, high-efficiency wireless communication networks.

    Comment: Accepted for Lecture presentation at the 58th Annual Conference on Information Sciences and Systems, to be held at Princeton University from March 13-15, 2024
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 003
    Publishing date 2024-01-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Design and Development of Triazole Derivatives as Prospective Anticancer Agents: A Review.

    Sachdeva, Harshita / Saquib, Mohammad / Tanwar, Kumud

    Anti-cancer agents in medicinal chemistry

    2022  Volume 22, Issue 19, Page(s) 3269–3279

    Abstract: Background: In recent years, there has been a crucial need for the design and development of novel anticancer drugs that can lessen the serious health problems and unwanted side effects associated with currently used anticancer drugs. The triazole ... ...

    Abstract Background: In recent years, there has been a crucial need for the design and development of novel anticancer drugs that can lessen the serious health problems and unwanted side effects associated with currently used anticancer drugs. The triazole nucleus is well-recognized to possess numerous pharmacological activities, including anticancer, as revealed by various investigations on anticancer drugs and the latest research findings.
    Objective: The aim of this review article is to summarise the anticancer potential of 1, 2, 3-triazole, 1, 2, 4-triazole and heterocycle-fused triazole derivatives against several human cancer cell lines, compiling research articles published between 2010 and 2021.
    Methods: Data were collected from PubMed, Google scholar and Research Gate using keywords "anticancer activity of 1, 2, 3-triazole derivatives", "anticancer activity of 1, 2, 4-triazole derivatives" and "anticancer activity of heterocycle- fused triazole derivatives" and reviewed comprehensively.
    Results: This review examines the anticancer potential of 1,2,3-triazole coupledoleanolic acid/dithiocarbamate/ pyrido[ 2,3-d] pyrimidine derivatives, 1,2,3-triazole linked pyrimidine/1,4-naphthoquinone hybrids, and 1,2,4-triazole substituted methanone derivatives, acridine-based 1,2,4-triazole derivatives, 1,2,4-thiadiazol coupled with 1,2,4- triazole and 5-ene-thiazolo[3,2-b][1,2,4]triazole-6(5H)-one derivatives against several human cancer cell lines.
    Conclusion: This review highlights the key findings in the area of cancer therapy. Triazole derivatives possess anticancer activity against various human cancer cell lines, and hence the triazole core may act as a lead molecule for the synthesis of novel anticancer drugs.
    MeSH term(s) Acridines ; Antineoplastic Agents ; Cell Proliferation ; Drug Screening Assays, Antitumor ; Humans ; Molecular Structure ; Neoplasms/drug therapy ; Prospective Studies ; Pyrimidines/pharmacology ; Structure-Activity Relationship ; Triazoles/pharmacology
    Chemical Substances Acridines ; Antineoplastic Agents ; Pyrimidines ; Triazoles
    Language English
    Publishing date 2022-04-12
    Publishing country Netherlands
    Document type Journal Article ; Review
    ZDB-ID 2217610-X
    ISSN 1875-5992 ; 1871-5206
    ISSN (online) 1875-5992
    ISSN 1871-5206
    DOI 10.2174/1871520622666220412133112
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Book ; Online: Robust 2-D DOA Estimation in a Polarization Sensitive Single User Environment

    Hasan, Md Imrul / Saquib, Mohammad

    2022  

    Abstract: Apart from the conventional parameters (such as signal-to-noise ratio, array geometry and size, sample size), several other factors (e.g. alignment of the antenna elements, polarization parameters) influence the performance of direction of arrival (DOA) ... ...

    Abstract Apart from the conventional parameters (such as signal-to-noise ratio, array geometry and size, sample size), several other factors (e.g. alignment of the antenna elements, polarization parameters) influence the performance of direction of arrival (DOA) estimating algorithms. When all the antenna elements are identically aligned, the polarization parameters do not affect the steering vectors, which is the underlying assumption of all the conventional DOA algorithms. Unfortunately, in this case, for a given set of DOA angles there exists a range of polarization parameters which could result in a very low signal-to-noise ratio (SNR) across all the antenna elements in the array. To avoid this type of catastrophic event, different antenna element needs to be aligned differently. However, this fact will make almost all commonly used DOA estimation algorithms non-operable, since the steering vectors are contaminated by the polarization parameters. To the best of our knowledge, no work in the literature addresses this issue even for a single user environment. In this paper, that line of inquiry is pursued. We consider a circular array with the minimum number of antenna elements and propose an antenna alignment scheme to ensure that at any given point no more than one element will suffer from significantly low SNR due to the contribution of polarization. A low complexity algorithm that estimates the DOA angles in a closed-form manner is developed. We treat MUSIC as the baseline algorithm and demonstrate how it can reliably operate in all possible DOA and polarization environments. Finally, a thorough performance and complexity analysis are illustrated for the above two algorithms.
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Subject code 600
    Publishing date 2022-03-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Book ; Online: Performance of Large Aperture UCCA Arrays in a 5G User Dense Network

    Hasan, Md Imrul / Saquib, Mohammad

    2022  

    Abstract: The transmitted signals in the fifth generation (5G) wireless networks suffer from significant path loss due to the use of higher frequencies in Sub-6 GHz and millimeter-wave (mmWave) bands. Inter-user interference in an ultra-dense network offers ... ...

    Abstract The transmitted signals in the fifth generation (5G) wireless networks suffer from significant path loss due to the use of higher frequencies in Sub-6 GHz and millimeter-wave (mmWave) bands. Inter-user interference in an ultra-dense network offers additional challenges to provide a high data rate. Therefore, it is desirable to generate narrow beams to extend the coverage of a 5G network by increasing antenna gain and improve its capacity by reducing the inter-user interference. This fact leads us to address the use of large aperture uniform concentric circular antenna (UCCA) arrays for 5G beamforming in massive multiple-input-multiple-output (MIMO) technology. Our analysis demonstrates that a UCCA with a larger antenna element spacing is capable of generating a significantly narrower beam with a moderate side-lobe level than a rectangular planar antenna (RPA) array while operating with the same number of antenna elements. This capability of the UCCA is analyzed to discover the performance gain of a 5G network.
    Keywords Computer Science - Information Theory ; Electrical Engineering and Systems Science - Signal Processing
    Subject code 003
    Publishing date 2022-03-04
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: RAt-CapsNet: A Deep Learning Network Utilizing Attention and Regional Information for Abnormality Detection in Wireless Capsule Endoscopy.

    Alam, Md Jahin / Rashid, Rifat Bin / Fattah, Shaikh Anowarul / Saquib, Mohammad

    IEEE journal of translational engineering in health and medicine

    2022  Volume 10, Page(s) 3300108

    Abstract: ... ...

    Abstract Background
    MeSH term(s) Animals ; Capsule Endoscopy ; Data Compression ; Deep Learning ; Gastrointestinal Tract ; Neural Networks, Computer ; Rats
    Language English
    Publishing date 2022-08-16
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2696555-0
    ISSN 2168-2372 ; 2168-2372
    ISSN (online) 2168-2372
    ISSN 2168-2372
    DOI 10.1109/JTEHM.2022.3198819
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: An ultrasound assisted, ionic liquid-molecular iodine synergy driven efficient green synthesis of pyrrolobenzodiazepine-triazole hybrids as potential anticancer agents.

    Saquib, Mohammad / Ahamad, Shakir / Khan, Mohammad Faheem / Khan, Mohammad Imran / Hussain, Mohd Kamil

    Frontiers in pharmacology

    2023  Volume 14, Page(s) 1168566

    Abstract: Herein, we report an efficient and eco-friendly, ultrasound assisted synthetic strategy for the construction of diversified pyrrolobenzodiazepine-triazole hybrids, which are potentially pharmaceutically important scaffolds, via a domino reaction ... ...

    Abstract Herein, we report an efficient and eco-friendly, ultrasound assisted synthetic strategy for the construction of diversified pyrrolobenzodiazepine-triazole hybrids, which are potentially pharmaceutically important scaffolds, via a domino reaction involving intermolecular electrophilic substitution followed by intramolecular Huisgen 1,3-dipolar azide-alkyne cycloaddition. The USP of the reported protocol is the use of benign and inexpensive, recyclable molecular iodine-ionic liquid synergistic catalytic system cum reaction media for achieving the synthesis. The other salient features of this method are the use of mild reaction conditions, high yield and atom economy, operational simplicity, broad substrate scope and easy workup and purification. All the synthesized compounds were evaluated for
    Language English
    Publishing date 2023-05-05
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2587355-6
    ISSN 1663-9812
    ISSN 1663-9812
    DOI 10.3389/fphar.2023.1168566
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Skin emitted volatiles analysis for noninvasive diagnosis: the current advances in sample preparation techniques for biomedical application.

    S, Keerthana / Saquib, Mohammad / Poojary, Harshika / Illanad, Gouri / Valavan, Divyadarshini / M, Selvakumar / Nayak, Ramakrishna / Mazumder, Nirmal / Ghosh, Chiranjit

    RSC advances

    2024  Volume 14, Issue 17, Page(s) 12009–12020

    Abstract: Human skin emits a series of volatile compounds from the skin due to various metabolic processes, microbial activity, and several external factors. Changes in the concentration of skin volatile metabolites indicate many diseases, including diabetes, ... ...

    Abstract Human skin emits a series of volatile compounds from the skin due to various metabolic processes, microbial activity, and several external factors. Changes in the concentration of skin volatile metabolites indicate many diseases, including diabetes, cancer, and infectious diseases. Researchers focused on skin-emitted compounds to gain insight into the pathophysiology of various diseases. In the case of skin volatolomics research, it is noteworthy that sample preparation, sampling protocol, analytical techniques, and comprehensive validation are important for the successful integration of skin metabolic profiles into regular clinical settings. Solid-phase microextraction techniques and polymer-based active sorbent traps were developed to capture the skin-emitted volatile compounds. The primary advantage of these sample preparation techniques is the ability to efficiently and targetedly capture skin metabolites, thus improving the detection of the biomarkers associated with various diseases. In further research, polydimethyl-based patches were utilized for skin research due to their biocompatibility and thermal stability properties. The microextraction sampling tools coupled with high sensitive Gas Chromatography-Mass Spectrometer provided a potential platform for skin volatolomes, thus emerging as a state-of-the-art analytical technique. Later, technological advancements, including the design of wearable sensors, have enriched skin-based research as it can integrate the information from skin-emitted volatile profiles into a portable platform. However, individual-specific hydration, temperature, and skin conditions can influence variations in skin volatile concentration. Considering the subject-specific skin depth, sampling time standardization, and suitable techniques may improve the skin sampling techniques for the potential discovery of various skin-based marker compounds associated with diseases. Here, we have summarised the current research progress, limitations, and technological advances in skin-based sample preparation techniques for disease diagnosis, monitoring, and personalized healthcare applications.
    Language English
    Publishing date 2024-04-15
    Publishing country England
    Document type Journal Article ; Review
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d4ra01579g
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Book ; Online: Low Complexity Single Source DOA Estimation Based on Reduced Dimension SVR

    Hasan, Md Imrul / Saquib, Mohammad

    2021  

    Abstract: Conventional direction of arrival (DOA) estimation algorithms suffer from performance degradation due to antenna pattern distortion and substantial computational complexity in real-time execution. The support vector regression (SVR) approach is a ... ...

    Abstract Conventional direction of arrival (DOA) estimation algorithms suffer from performance degradation due to antenna pattern distortion and substantial computational complexity in real-time execution. The support vector regression (SVR) approach is a possible solution to overcome those limitations. In this work, we propose a sequential DOA estimation technique that combines the reduced dimension SVR (for the azimuthal plane) with a closed form approach (for the elevation plane). Thus, the training and testing are only required for the azimuthal angles which makes it very attractive from the implementation complexity point of view. Our analysis demonstrates that the proposed algorithm offers significant complexity gain over the popular MUSIC algorithm while exhibiting similar root-mean-square error performance.
    Keywords Electrical Engineering and Systems Science - Signal Processing
    Publishing date 2021-10-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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