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  • A Layered Framework for Virtual Guidance to Network Maintenance Based On Augmented Reality 
    Hossain, Syed Akhter; Islam, Rishad; Rahman, Shahir; Nayeem, Shahriar (Scopus, 2021)
    With the growing interest in Augmented Reality (AR) re-searchers and developers are engaged in developing systems with AR technologies. AR provides a unique experience in visualizing the solutions and provides an exciting ...
  • LC-MS/MS Application in Pharmacotoxicological Field: Current State and New Applications 
    D’Ovidio, Cristian; Locatelli, Marcello; Perrucci, Miryam; Ciriolo, Luigi; Furton, Kenneth G.; Gazioglu, Isil; Kabir, Abuzar; Merone, Giuseppe Maria; Grazia, Ugode; Ali, Imran; Catena, Antonio Maria; Treglia, Michele; Marsella, Luigi T.; Savini, Fabio (MDPI Publications, 2023-02-24)
    Nowadays, it is vital to have new, complete, and rapid methods to screen and follow pharmacotoxicological and forensic cases. In this context, an important role is undoubtedly played by liquid chromatography-tandem mass ...
  • Leading Towards the Students' Career Development and Career Intentions Through Using Multidimensional Soft Skills in the Digital Age 
    Shah, Naimatullah; Bano, Safia; Saraih, Ummi Naiemah; Abdelwahed, Nadia A. Abdelmegeed; Soomro, Bahadur Ali (Emerald Publishing Limited, 2023-03-14)
    "Purpose In the digital age, the development of students’ career intentions requires serious concentration since these are associated with the students’ future employment and, ultimately, their survival. This study ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid (IEEE, 2021-01)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • A Leaf Disease Classification Model in Betel Vine Using Machine Learning Techniques 
    Hasan, Md Zahid; Zeba, Nahid; Malek, Md. Abdul; Reya, Sanjida Sultana (Scopus, 2021)
    Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, ...
  • Leaf Diseases Detection for Commercial Cultivation of Obsolete Fruit in Bangladesh Using Image Processing System 
    Sheikh, Md. Helal; Mim, Tahmina Tashrif; Reza, Md. Shamim; Hena, Most. Hasna (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06-16)
    Bangladesh is country of seasons. Naturally the people of Bangladesh are blessed with various native seasonal fruits to fulfill their needs and appetites. So, hundreds of local fruits are cultivated through the yearlong ...
  • Leaf Functional Traits of Invasive Grasses Conferring High-Cadmium Adaptation Over Natives 
    Ilyas, Muhammad; Shah, Sakhawat; Lai, Ya-Wen; Sher, Jan; Bai, Tao; Zaman, Fawad; Bibi, Farkhanda; Koul, Monika; Wani, Shabir Hussain; Majrashi, Ali; Alharby, Hesham F.; Hakeem, Khalid Rehman; Wang, Yong-Jian; Rather, Shabir A. (Daffodil International University, 2022-06-20)
    Heavy metal (HM) contamination resulting from industrialization and urbanization during the Anthropocene along with plant invasion can severely threaten the growth and adaptation of local flora. Invasive alien plant species ...
  • Learning Agility Quotient and Work Readiness of Graduating Accounting Students: Embracing the Dynamics of IR4.0 
    Azhara, Zubir; Jalaludin, Dayana; Erlane K. Ghani; Thurasamy, Ramayah (Taylor & Francis Group, 2023-05-16)
    This study examines if the learning agility quotient (LAQ) is an important determinant for the work readiness of graduating accounting students in the Fourth Industrial Revolution (IR4.0) environment. Using a questionnaire ...
  • Leaves Diseases Detection of Tomato Using Image Processing 
    Mim, Tahmina Tashrif; Sheikh, Md. Helal; Shampa, Roksana Akter; Reza, Md. Shamim; Islam, Md. Sanzidul (Proceedings of the 2019 8th International Conference on System Modeling and Advancement in Research Trends, SMART 2019, IEEE, 2020-06)
    Today's era is an era of Scientific Development. Where, technologies and new ways of solving real-life problems are being invented every day. With the increasing population of the world, basic need of food is increasing ...
  • Lectin Purification through Affinity Chromatography Exploiting Macroporous Monolithic Adsorbents 
    Silva, Josiane F. Da; Lima, Clara M. G.; Silva, Débora L. Da; Nascimento, Ivonea S. Do; Rodrigues, Sarah De O.; Gonçalves, Letícia A.; Santana, Renata F.; Khalid, Waseem; Verruck, Silvani; Emran, Talha Bin; Menezes, Irwin R. A. De; Coutinho, Henrique D. M.; Khandaker, Mayeen U.; Faruque, Mohammad R. I.; Fontan, Rafael Da C. I. (MDPI Publications, 2023-01-06)
    Growing medical, engineering, biochemical, and biological interest has led to a steady pace of research and development into polymeric monolithic structures with densely interconnected pores for purifying bio compounds. ...
  • Legal and Social Consequences of Substance Use 
    Hawlader, Mohammad Delwer Hossain; Nabi, Mohammad Hayatun; Hussain, Amir; Al Amin, Saad Ullah; Zaman, Sanjana; Masud, Iqbal (Journal of Ethnicity in Substance Abuse, 2020-12-20)
    Substance use is a major public health concern and its consequences can destroy someone's life. This study aimed to explore the legal and social consequences of substance use in Bangladesh. We conducted a nationwide ...
  • Legal and Social Consequences of Substance Use 
    Hawlader, Mohammad Delwer Hossain; Nabi, Mohammad Hayatun; Hussain, Amir; Amin, Saad Ullah Al; Zaman, Sanjana; Masud, Iqbal (Taylor & Francis Group, 2020-12-20)
    Substance use is a major public health concern and its consequences can destroy someone’s life. This study aimed to explore the legal and social consequences of substance use in Bangladesh. We conducted a nationwide ...
  • Legal Aspects of Regulating Internal Migration in Kazakhstan and Foreign Countries 
    Amerkhanova, Indira Kulataevna; Maishekina, Eldana Sovetovna; Bodaukhan, Kairat; Matayeva, Maigul Hafizovna; Karazhanov, Malik Dulatovich; Zayed, Nurul Mohammad (Scopus, 2021)
    The article considers the state of migration legislation as a mechanism for regulating internal migration in Kazakhstan in the modern period. From this point of view, regularities, trends, features of the legal support of ...
  • The Legal Status of the Designation of Artificial Intelligence in a System of Modern Law 
    Zhaltyrbayeva, Rauan; Shalkharo, Yernar S.; Shalkharov, Yernar S.; Bitemirov, Kairat T.; Ismailova, Bakitgul S.; Kurmanova, Aigul K.; Berdibaev, Yerzhan M.; Zayed, Nurul Mohammad (Journal of Legal, Ethical and Regulatory Issues, 2021)
    To date, the sphere of IT technologies is a fairly developed sector of society. Computers cope in almost all sectors of the life of every citizen, starting with labor relations and ending with relationships in everyday ...
  • Legionella Pneumonia in Argentina: a Disease Cluster To Worry About 
    Sethi, Yashendra; Kaka, Nirja; Chopra, Hitesh; Emran, Talha Bin (Scopus, 22-10-17)
    Legionella is a facultative intracellular gram-negative coccobacillus with the reservoir being a common water body or aerosolized system. Although human-to-human transmission is uncommon it still presents as a public health ...
  • Lemmatization Algorithm Development for Bangla Natural Language Processing 
    Kowsher, Md.; Tahabilder, Anik; Sarker, Md Murad Hossain; Sanjid, Md. Zahidul Islam; Prottasha, Nusrat Jahan (2020 Joint 9th International Conference on Informatics, Electronics & Vision (ICIEV) and 2020 4th International Conference on Imaging, Vision & Pattern Recognition (icIVPR), IEEE, 2020-01-07)
    Natural language processing (NLP) finds enormous applications in autonomous communication, while lemmatization is an essential preprocessing technique for simplification of a word to its origin-word in NLP. However, there ...
  • Level of Fear Towards COVID-19 and Its Determinants Among Healthcare Providers in Malaysia: A Cross-Sectional Study 
    Ching, Siew Mooi; Cheong, Ai Theng; Yee, Anne; Thurasamy, Ramayah; Lim, Poh Ying; Ismail, Irmi Zarina; Mohammad, Nik Mazlina; Ho, Bee Kiau; Ng, Jun Ying; Tan, Siow Foon; Rashid, Zienna Zufida Zainol; Jogulu, Sathya Rao; Lee, Kai Wei; Taher, Sri Wahyu (Family Medicine Specialist Association, 2023-01-15)
    "Introduction: Malaysia is one of the hardest-hit countries by COVID-19 in Asia. The rapidly rising number of cases had sparked fear among healthcare providers. This study aimed to assess the determinants of fear towards ...
  • Leveraging Sensor Fusion and Sensor-Body Position for Activity Recognition for Wearable Mobile Technologies 
    Alam, Ashraful; Das, Anik; Tasjid, Shahriar; Marouf, Ahmed Al (Scopus, 2021)
    —Smart devices like smartphones and smartwatches have made this world smarter. These wearable devices are created through complex research methodologies to make them more usable and interactive with its user. Various ...
  • Leveraging Smartphone Sensors for Detecting Abnormal Gait for Smart Wearable Mobile Technologies 
    Tasjid, Md Shahriar; Marouf, Ahmed Al (Scopus, 2021)
    Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as ...
  • LFNNR 
    Zim, Md Ziaul Haque; Sarkar, Md Sazzad; Nisi, Zeba Fauzia; Das, Nimai Chandra (IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus), IEEE, 2021-04-09)
    Humans and animals have a brain and nervous system, and they process in-formation with neural networks. Trillions of neurons (nerve cells) exchanging brief electrical pulse called action potentials form neural networks. ...

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