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Article
An improved 3D U-Net-based deep learning system for brain tumor segmentation using multi-modal MRI
Cancer is a lethal illness that requires an initial stage prognosis to enhance patient survival rate. Accurate brain tumor and their sub-structure segmentation through Magnetic Resonance Images (MRIs) is a tou...
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Article
Does CPEC benefit the sustainable agricultural development in Pakistan: a comparison with open investment policy 1997
This study presents a unique perspective by examining the relationship between foreign investment and agricultural development in Pakistan, specifically focusing on the China-Pakistan Economic Corridor (CPEC) ...
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Article
Remarkable Removal of Pb(II) Ions from Aqueous Media Using Facilely Synthesized Sodium Manganese Silicate Hydroxide Hydrate/Manganese Silicate as a Novel Nanocomposite
The presence of Pb(II) ions in water causes many diseases, such as anemia, kidney disorders, and nervous system disorders. Therefore, this paper presents the facile hydrothermal synthesis of a novel type of na...
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Article
Hydrogen iron oxide from an Acinetobacter strain exhibiting intrinsic peroxidase-like activity and its catalytic mechanism and applications
Biogenic magnetic nano particles (BMNPs) are believed to outperform conventional MNPs; hence, in present study, BMNPs obtained from an Acinetobacter strain isolated from the muddy waters of the Jiangbei River in ...
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Article
Modification of Hydroxysodalite Nanoparticles by (3-aminopropyl)trimethoxysilane and Isatoic Anhydride as a Novel Composite for Efficient Sorption of Cu(II) Ions from Aqueous Media
In this study, (3-aminopropyl)trimethoxysilane (C6H17NO3Si) and isatoic anhydride (C8H5NO3) reacted with hydroxysodalite nanoparticles (Na4Al3Si3O12(OH)) to produce a new composite with the purpose of effectively...
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Article
A drag and lift passive control study of Carreau–Yasuda fluid in a channel with a cylinder rooted in a transient flow
The use of vertical splitter plates in fluid flow around obstacles in a channel is a strategy for passive control of flow energy. Current research has effectively used temporal and spatial discretization to ad...
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Article
Open AccessPredicting the strengths of date fiber reinforced concrete subjected to elevated temperature using artificial neural network, and Weibull distribution
Date palm fiber (DPF) is normally used as fiber material in concrete. Though its addition to concrete leads to decline in durability and mechanical strengths performance. Additionally, due to its high ligno-ce...
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Article
Artificial neural networking estimation of skin friction coefficient at cylindrical surface: a Casson flow field
In this article, we constructed Artificial Neural Networking (ANN) models to predict values of the skin friction coefficient for two different flow regimes of non-Newtonian fluid. More specifically, flow of Ca...
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Chapter
Microbial Fuel Cell and Wastewater Treatment
Microbial fuel cell (MFC) systems oxidize organic and inorganic substrates using the bio-electrochemical catalytic activity of microbial biofilms. This chapter is about the current wastewater treatment methods...
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Article
Assessment of millennial organic food consumption and moderating role of food neophobia in Pakistan
Ecological and health-related issues have given rise to scholars and investigators’ concerns in exploring the determinantal effects of organic food. But little attention has paid to the actual buying behaviour...
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Article
A Comprehensive Survey on Brain Tumor Diagnosis Using Deep Learning and Emerging Hybrid Techniques with Multi-modal MR Image
The brain tumor is considered the deadly disease of the century. At present, neuroscience and artificial intelligence conspire in the timely delineation, detection, and classification of brain tumors. The proc...
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Article
A review on mathematical modeling of in-vessel composting process and energy balance
Composting is an integral part of waste management. In-vessel composting makes for a more efficient compost within a short period. Composting allows the transformation of waste into a useful product. However, ...
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Article
A review on machine learning techniques for the assessment of image grading in breast mammogram
Breast cancer is the 2nd leading cancer of death among women around the world. In Asia and Africa due to low income, the mortality rates are very high as compared to Europe and America. Initially, image interp...
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Article
Highly efficient tri-phase TiO2–Y2O3–V2O5 nanocomposite: structural, optical, photocatalyst, and antibacterial studies
In the present work, pristine anatase titanium oxide (TiO2), vanadium oxide (V2O5), and yttrium oxide (Y2O3) nanopowders (NPs), and tri-phase TiO2–Y2O3–V2O5 nanocomposite (NC) were prepared via a simple co-precip...
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Chapter and Conference Paper
A Deep Learning-Based Approach for Mammographic Architectural Distortion Classification
Breast cancer is the most deadly cancer in females globally. Architectural distortion is the third most often reported irregularity on digital mammograms among the masses and microcalcification. Physically ide...
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Chapter and Conference Paper
A Multi-module 3D U-Net Learning Architecture for Brain Tumor Segmentation
Segmentation of gliomas is a crucial step in brain tumor surgical planning, and it serves as the foundation for further diagnosis of brain tumors. Tumor borders are usually unclear, and a significant amount of...
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Chapter and Conference Paper
A Feature Fusion-Based Approach for Mammographic Mass Classification Using Deep Learning
Breast cancer seems to be the most deadly cancer for females globally. Mammographic masse detection is essential for the early diagnosis of breast cancer. The manual detection of breast masses using texture an...
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Article
Dendritic Cell–Targeted Therapies to Treat Neurological Disorders
Dendritic cells (DCs) are the immune system’s highly specialized antigen-presenting cells. When DCs are sluggish and mature, self-antigen presentation results in tolerance; however, when pathogen-associated mo...
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Living Reference Work Entry In depth
Sustainable Development and Industry 4.0
Industrialization is the major feature in calculating the development of the country. Since last decade, industrial manufacturing processes are converting from manual to mechanical processes. Mainly the develo...
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Article
Synergistic Effect of Urease and Nitrification Inhibitors in the Reduction of Ammonia Volatilization
Nitrogen (N) is deficient in more than 90% of soils of Pakistan, mainly because of low organic matter contents. The use of nitrogenous fertilizers is a common practice for sustainable and profitable crop yield...
