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Low Altitude Satellite Constellation for Futuristic Aerial-Ground Communications

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1053-1089页

作者： Saifur Rahman Sabuj Mohammad Saadman Alam Majumder Haider Md Akbar hossain Al-sakib Khan Pathan Department of Electronic Engineering Hanbat National UniversityDaejeon34158South Korea Department of Electrical and Electronic Engineering Brac UniversityDhaka1212Bangladesh School of Business and Digital Technologies Manukau Institute of TechnologyManukau2241New Zealand Department of Computer Science and Engineering United International UniversityDhaka1212Bangladesh

This paper discusses the significance and prospects of low altitude small satellite aerial vehicles to ensure smooth aerial-ground communications for next-generation broadband *** achieve the generic goals of fifthgeneration and beyondwireless networks,the existing aerial network architecture needs to be *** detailed architecture of low altitude aerial networks and the challenges in resource management have been illustrated in this ***,we have studied the coordination between promising communication technologies and low altitude aerial networks to provide robust network *** talk about the techniques that can ensure userfriendly control and monitoring of the low altitude aerial networks to bring forth wireless broadband connectivity to a new *** the end,we highlight the future research directions of aerial-ground communications in terms of access technologies,machine learning,compressed sensing,and quantum communications.

关键词： Aerial-terrestrial network cognitive radio network cooperative communication high altitude platform low altitude platform low earth orbit satellite constellation unmanned aerial vehicle

Investigating customer churn in banking:a machine learning approach and visualization app for data science and management

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Data Science and Management 2024年第1期7卷 7-16页

作者： Pahul Preet Singh Fahim Islam Anik Rahul Senapati Arnav Sinha Nazmus sakib Eklas hossain Institute for Artificial Intelligence and Data Science University at BuffaloThe State University of New YorkAmherst14068United States Department of Mechanical Engineering Khulna University of Engineering&TechnologyKhulna9203Bangladesh Department of Information Technology Kennesaw State UniversityMarietta30067United States Department of Electrical and Computer Engineering Boise State UniversityBoise83725United States

Customer attrition in the banking industry occurs when consumers quit using the goods and services offered by the bank for some time and,after that,end their connection with the ***,customer retention is essential in today’s extremely competitive banking ***,having a solid customer base helps attract new consumers by fostering confidence and a referral from a current *** factors make reducing client attrition a crucial step that banks must *** our research,we aim to examine bank data and forecast which users will most likely discontinue using the bank’s services and become paying *** use various machine learning algorithms to analyze the data and show comparative analysis on different evaluation *** addition,we developed a Data Visualization RShiny app for data science and management regarding customer churn *** this data will help the bank indicate the trend and then try to retain customers on the verge of attrition.

关键词： Bank customer attrition Churn prediction Machine learning XGboost Random forest

LDNet: A Robust Hybrid Approach for Lie Detection Using Deep Learning Techniques

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Computers, Materials & Continua 2024年第11期81卷 2845-2871页

作者： Shanjita Akter Prome Md Rafiqul Islam Md.Kowsar hossain sakib David Asirvatham Neethiahnanthan Ari Ragavan Cesar Sanin Edward Szczerbicki School of Computer Science Taylor’s UniversitySubang Jaya47500Malaysia Information Systems Australian Institute of Higher EducationSydneyNSW 2000Australia Faculty of Social Sciences&Leisure Management Taylor’s UniversitySubang Jaya47500Malaysia Faculty of Management and Economics Gdansk University of TechnologyGdansk80-233Poland

Deception detection is regarded as a concern for everyone in their daily lives and affects social *** human face is a rich source of data that offers trustworthy markers of *** deception or lie detection systems are non-intrusive,cost-effective,and mobile by identifying facial *** the last decade,numerous studies have been conducted on deception detection using several advanced *** have focused their attention on inventing more effective and efficient solutions for the detection of ***,it could be challenging to spot trends,practical approaches,gaps,and chances for ***,there are still a lot of opportunities for innovative deception detection ***,we used a variety of machine learning(ML)and deep learning(DL)approaches to experiment with this *** research aims to do the following:(i)review and analyze the current lie detection(LD)systems;(ii)create a dataset;(iii)use several ML and DL techniques to identify lying;and(iv)create a hybrid model known as *** combining layers from Vgg16 and DeneseNet121,LDNet was developed and offered the best accuracy(99.50%)of all the *** developed hybrid model is a great addition that significantly advances the study of *** findings from this research endeavor are expected to advance our understanding of the effectiveness of ML and DL techniques in ***,it has significant practical applications in diverse domains such as security,law enforcement,border control,organizations,and investigation cases where accurate lie detection is paramount.

关键词： Artificial intelligence deception/lie detection deep learning facial expression machine learning

Curcumin reverses T cell-mediated adaptive immune dysfunctions in tumor-bearing hosts

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Cellular & Molecular Immunology 2010年第4期7卷 306-315页

作者： Sankar Bhattacharyya Dewan Md sakib hossain Suchismita Mohanty Gouri Sankar Sen Sreya Chattopadhyay Shuvomoy Banerjee Juni Chakraborty Kaushik Das Diptendra Sarkar Tanya Das Gaurisankar Sa Division of Molecular Medicine Bose InstituteKolkataIndia

Immune dysfunction is well documented during tumor progression and likely contributes to tumor immune ***81 cytotoxic T lymphocytes(CTLs)are involved in antigen-specific tumor destruction and CD41 T cells are essential for helping this CD81 T cell-dependent tumor *** often target and inhibit T-cell function to escape from immune *** dysfunction includes loss of effector and memory T cells,bias towards type 2 cytokines and expansion of T regulatory(Treg)*** has previously been shown to have antitumor activity and some research has addressed the immunoprotective potential of this plant-derived polyphenol in tumor-bearing *** we examined the role of curcumin in the prevention of tumor-induced dysfunction of T cell-based immune *** observed severe loss of both effector and memory T-cell populations,downregulation of type 1 and upregulation of type 2 immune responses and decreased proliferation of effector T cells in the presence of ***,in turn,prevented this loss of T cells,expanded central memory T cell(TCM)/effector memory T cell(TEM)populations,reversed the type 2 immune bias and attenuated the tumor-induced inhibition of T-cell proliferation in tumor-bearing *** investigation revealed that tumor burden upregulated Treg cell populations and stimulated the production of the immunosuppressive cytokines transforming growth factor(TGF)-b and IL-10 in these ***,however,inhibited the suppressive activity of Treg cells by downregulating the production of TGF-b and IL-10 in these *** importantly,curcumin treatment enhanced the ability of effector T cells to kill cancer ***,our observations suggest that the unique properties of curcumin may be exploited for successful attenuation of tumor-induced suppression of cell-mediated immune responses.

关键词： CD41/CD81 T cell Effector T cell T-regulatory cell FoxP3 Th1/Th2

If not me, then who? Social media, vaccine hesitancy, and ethical responsibility in the face of the Covid-19 pandemic

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History & Philosophy of Medicine 2023年第2期5卷 14-19页

作者： Fahmida hossain Kh tanvir Ahmed Frank A.Lehner Center for Global Health Ethics Duquesne UniversityPittsburgh 15282USA Graduate School of Pharmaceutical Science Duquesne UniversityPittsburgh 15282USA Principal Naridus LLCPittsburgh 15212USA.

The Covid-19 pandemic is the most significant public health emergency of the 21st ***,the infection of social media with fact-less,false,and misleading information concerning Covid-19 has direct and detrimental effects on millions of people’s health and well-being,often with deadly *** the introduction of Covid-19 vaccines,an end to the pandemic is in ***,the unsubstantiated and damaging claims about the vaccine remain prevalent throughout *** a result,a large segment of the population is hesitant to be *** social media is used to sow false *** also can be used to temper or eradicate the cascading and self-perpetuating flow of misinformation and misperceptions by disseminating truthful,timely,and action-oriented *** in doing so,promote the efficacy and safety of the vaccines and highlight the responsibility we get vaccinated for ***,it is the ethical and moral obligation of every powerful entity-healthcare providers,pharmaceutical companies,social media platforms,and individual users-to stop the spread of misinformation and promote fact-and evidence-based information throughout the media that they control or participate *** to overcoming vaccine hesitancy and a return to a sense of normalcy depend on these efforts.

关键词： Covid-19 ethics false news social media vaccination

Short-Term Financial Time Series Forecasting Integrating Principal Component Analysis and Independent Component Analysis with Support Vector Regression

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Journal of Computer and Communications 2018年第3期6卷 51-67页

作者： Utpala Nanda Chowdhury Sanjoy Kumar Chakravarty Md. tanvir hossain Department of Computer Science and Engineering University of Rajshahi Rajshahi Bangladesh

Financial time series forecasting could be beneficial for individual as well as institutional investors. But, the high noise and complexity residing in the financial data make this job extremely challenging. Over the years, many researchers have used support vector regression (SVR) quite successfully to conquer this challenge. In this paper, an SVR based forecasting model is proposed which first uses the principal component analysis (PCA) to extract the low-dimensional and efficient feature information, and then uses the independent component analysis (ICA) to preprocess the extracted features to nullify the influence of noise in the features. Experiments were carried out based on 16 years’ historical data of three prominent stocks from three different sectors listed in Dhaka Stock Exchange (DSE), Bangladesh. The predictions were made for 1 to 4 days in advance targeting the short term prediction. For comparison, the integration of PCA with SVR (PCA-SVR), ICA with SVR (ICA-SVR) and single SVR approaches were applied to evaluate the prediction accuracy of the proposed approach. Experimental results show that the proposed model (PCA-ICA-SVR) outperforms the PCA-SVR, ICA-SVR and single SVR methods.

关键词： Financial Time Series Forecasting Support Vector Regression Principal Component Analysis Independent Component Analysis Dhaka Stock Exchange

Multi-species probiotics enhance survival,growth,intestinal microbiota and disease resistance of rohu(Labeo rohita)larvae

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Water Biology and Security 2024年第1期3卷 71-79页

作者： Zannatul Ferdous Md Kabir hossain Md Hadiuzzaman SMRafiquzzaman KM Abdul Halim tanvir Rahman Md Ali Reza Faruk Zulhisyam Abdul Kari Md Shahjahan Laboratory of Fish Ecophysiology Department of Fisheries ManagementBangladesh Agricultural UniversityMymensingh2202Bangladesh Department of Aquaculture Bangladesh Agricultural UniversityMymensingh2202Bangladesh Department of Fisheries Matshoy BhabanDhakaBangladesh Department of Fisheries Biology&Aquatic Environment Bangabandhu Sheikh Mujibur Rahman Agricultural UniversityGazipur1706Bangladesh Department of Agricultural Sciences Faculty of Agro-Based IndustryUniversiti Malaysia KelantanJeli Campus17600JeliKelantanMalaysia

Multi-strain probiotics provide the most dependable approaches to improve health,immune response,and disease resistance in farmed *** the present study,we examined the effects of multi-species probiotics on the survival,growth,immune response,and disease resistance of rohu(Labeo rohita)*** hatched larvae from the day of first feeding(average weight of 0.003 g)were reared with multi-species probiotics having a combination of Bacillus subtilis(109 colony forming units(cfu)/mL)and Lactobacillus spp.(Lactobacillus plantarum,Lactobacillus buchneri-1011 cfu/mL)in water containing doses of 0(control-C),0.5 mL/L(treatment 1-T1),and 1.0 mL/L(treatment 2-T2)in triplicates for 90 *** the experiment,a challenge test was performed to assess the fish's resistance to pathogenic Aeromonas *** higher survival was recorded in larvae of treated groups(87%in T2 and 79%in T1)compared to the control(62%).Significantly higher growth performance(weight gain and specific growth rate—SGR)was shown by the probiotic-treated larval groups compared to the *** supplementation resulted in significantly higher counts of total viable colony(TVC)and lactic acid bacteria(LAB)in the *** immunological parameters(mucosal fold fattening,goblet cell abundance,expansion of lamina propria and enterocytes)of the gut were significantly better in probiotic-treated *** liver of treated fish showed irregular shape nuclei turning into regular shape and reducing spaces between the hepatic ***-treated fish had the highest post-challenge survival rate(90%)against *** *** erythrocytes of challenged fish treated with probiotics had significantly lower frequencies of various nuclear and cellular *** findings suggest that multi-species probiotic supplements could improve the survival,growth,health status,and immune response of rohu in the early stages of its development.

关键词： Aquaculture Disease resistance Immunity Labeo rohita Probiotics

Position statement of Hepatology Society, Dhaka, Bangladesh, on the management of acute variceal bleeding in a resource-limited setting

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iLIVER 2022年第4期1卷 205-208页

作者： tanvir Ahmad Shahinul Alam Saiful Islam Golam Azam Mahabubul Alam SKM Nazmul Hasan Golam Mustafa Motahar hossain MdAkmat Ali Mobin Khan Kurmitola General Hospital DhakaBangladesh Department of Hepatology BSMMU General SecretaryHepatology SocietyDhakaBangladesh Department of Hepatology BSMMUBangladesh Department of Gastrointestinal-Hepatobiliary and Pancreatic Disorders(GHPD) BIRDEM HospitalBangladesh Department of Hepatology Shahid Syed Nazrul Islam Medical CollegeKishoregonjBangladesh Square Hospital Bangladesh Addin Medical College DhakaBangladesh

Variceal bleeding is one of the important signs of decompensation in patients with cirrhosis of the *** is always a medical emergency and sometimes results in *** year many patients die due to acute bleeding *** outcome depends on bleeding and its complications as well as the severity of the underlying liver *** volume resuscitation,administration of antibiotics and vasoactive drugs,and early endoscopic therapy prevent rebleeding and *** living in rural areas are first referred to a district hospital from the Upazila health complex for any medical ***,commencing the resuscitation process as well as administration of the vasoactive drug(terlipressin)at the first attending hospital before being referred to a higher center will decrease the mortality in patients presenting with acute variceal bleeding.

关键词： Variceal bleeding Resource-limited setting Terlipressin Cirrhosis Primary care physician

Parasitic Effects on the Performance of DC-DC SEPIC in Photovoltaic Maximum Power Point Tracking Applications

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Smart Grid and Renewable Energy 2013年第1期4卷 113-121页

作者： Nur Mohammad Muhammad Quamruzzaman Mohammad Rubaiyat tanvir hossain Mohammad Rafiqul Alam Department of Electrical & Electronic Engineering Bangladesh University of Engineering & Technology Dhaka Bangladesh. Department of Electrical & Electronic Engineering Chittagong University of Engineering & Technology Chittagong Bangladesh

This paper presents an analysis of the effect of parasitic resistances on the performance of DC-DC Single Ended Pri- mary Inductor Converter (SEPIC) in photovoltaic maximum power point tracking (MPPT) applications. The energy storage elements incorporated in the SEPIC converter possess parasitic resistances. Although ideal components significantly simplifies model development, but neglecting the parasitic effects in models may sometimes lead to failure in predicting first scale stability and actual performance. Therefore, the effects of parasitics have been taken into consideration for improving the model accuracy, stability, robustness and dynamic performance analysis of the converter. Detail mathematical model of SEPIC converter including inductive parasitic has been developed. The performance of the converter in tracking MPP at different irradiance levels has been analyzed for variation in parasitic resistance. The converter efficiency has been found above 83% for insolation level of 600 W/m2 when the parasitic resistance in the energy storage element has been ignored. However, as the parasitic resistance of both of the inductor has increased to 1 ohm, a fraction of the power managed by the converter has dissipated;as a result the efficiency of the converter has reduced to 78% for the same insolation profile. Although the increasing value of the parasitic has assisted the converter to converge quickly to reach the maximum power point. Furthermore it has also been observed that the peak to peak load current ripple is reduced. The obtained simulation results have validated the competent of the MPPT converter model.

关键词： Photovoltaic (PV) Renewable Energy Systems DC-DC Converter Parasitic Resistance Maximum Power Point Tracking (MPPT) Single Ended Primary Inductance Converter (SEPIC)