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Roy C. Sidle, Arnaud Caiserman, Ben Jarihani, Zulfiqor Khojazoda, Jens Kiesel, Maksim Kulikov and Aslam Qadamov
The Vakhsh River is tributary to the Amu Dayra, supporting numerous hydropower facilities as well as irrigation and community water supplies. High sediment loads are major concerns for these uses, yet little is known about the spatial distribution of the...
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Hassan Danial Aslam, Sorinel Capu?neanu, Tasawar Javed, Ileana-Sorina Rakos and Cristian-Marian Barbu
The business sector is rife with unethical managerial practices, such as blaming subordinates for organizational failings, along with the exploitation of colleagues, favoritism, and conflicts of leadership. In light of this, numerous researchers have end...
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Muhammad Tayyab, Rana Ammar Aslam, Umar Farooq, Sikandar Ali, Shahbaz Nasir Khan, Mazhar Iqbal, Muhammad Imran Khan and Naeem Saddique
Groundwater Arsenic (As) data are often sparse and location-specific, making them insufficient to represent the heterogeneity in groundwater quality status at unsampled locations. Interpolation techniques have been used to map groundwater As data at unsa...
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Tahira Aslam, Safdar A. Mirza, Aneeba Rashid, Muhammad Arshad Javed and Luiza C. Campos
The increasing human population continues to exert pressure on the freshwater scarcity. The availability of freshwater for crop irrigation has become challenging. The present study aimed to use domestic wastewater (DWW) for the irrigation of two rice cul...
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Pir Dino Soomro, Xianping Fu, Muhammad Aslam, Dani Elias Mfungo and Arsalan Ali
An imperative application of artificial intelligence (AI) techniques is visual object detection, and the methods of visual object detection available currently need highly equipped datasets preserved in a centralized unit. This usually results in high tr...
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Mohammad Alauthman, Ahmad Al-qerem, Bilal Sowan, Ayoub Alsarhan, Mohammed Eshtay, Amjad Aldweesh and Nauman Aslam
Developing an effective classification model in the medical field is challenging due to limited datasets. To address this issue, this study proposes using a generative adversarial network (GAN) as a data-augmentation technique. The research aims to enhan...
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Maria Hasnain, Neelma Munir, Zainul Abideen, Daniel Anthony Dias, Farheen Aslam and Roberto Mancinelli
Biofuel generation from algae can be increased by using nanotechnology. The present study emphasizes the use of silver nanoparticles on algae for algal fuel generation along with the impact of nanoparticles on biomass, metabolites and lipid profile. Silv...
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Radhakrishna Dodmane, Raghunandan K. R., Krishnaraj Rao N. S., Bhavya Kallapu., Surendra Shetty, Muhammad Aslam and Syeda Fizzah Jilani
The advancements in communication speeds have enabled the centralized financial market to be faster and more complex than ever. The speed of the order execution has become exponentially faster when compared to the early days of electronic markets. Though...
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Kanza Gulzar, Muhammad Ayoob Memon, Syed Muhammad Mohsin, Sheraz Aslam, Syed Muhammad Abrar Akber and Muhammad Asghar Nadeem
In the public health sector and the field of medicine, the popularity of data mining and its usage in knowledge discovery and databases (KDD) are rising. The growing popularity of data mining has discovered innovative healthcare links to support decision...
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Mansoor Iqbal, Zahid Ullah, Izaz Ahmad Khan, Sheraz Aslam, Haris Shaheer, Mujtaba Humayon, Muhammad Asjad Salahuddin and Adeel Mehmood
Task scheduling algorithms are crucial for optimizing the utilization of computing resources. This work proposes a unique approach for improving task execution in real-time systems using an enhanced Round Robin scheduling algorithm variant incorporating ...
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