The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison

Mandapuram, Mounika; Hosen, Md. Faruk

doi:10.18034/gdeb.v7i2.657

Cited by 30 publications

(15 citation statements)

References 8 publications

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“…Sales forecasting; accurate sales forecasting is crucial for businesses to plan inventory, manage resources, and strategize for growth. Computational tools employ historical data and predictive algorithms to provide enterprises with a likely sales forecast (Mandapuram & Hosen, 2018). Machine learning models, for instance, can adjust their predictions based on real-time data, adapting to market changes more rapidly than traditional methods.…”

Section: Business Analytics and Big Datamentioning

confidence: 99%

Interdisciplinary Nature of Computational Science Cases in Business Studies

Husen,

Chowdhury

2023

Glob. discl. econ. bus.

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The intricate confluence of computational science and business studies heralds an unprecedented era in the academic and industrial landscape. This paper comprehensively explores this interdisciplinary nexus, delving deep into the transformative potential that computational methodologies bring to business arenas. From leveraging vast datasets in business analytics to pioneering financial models, computational tools are reshaping the very paradigms of business decision-making. However, these advancements are not without challenges. Ethical considerations, over-reliance on models, and the essentiality of human insight remain critical discussions. Moreover, the paper underscores the need for further collaborative research, emphasizing the importance of a symbiotic relationship between computational scientists and business professionals. As the digital age progresses, integrating computational science into business studies becomes beneficial and imperative for organizations seeking innovative solutions and sustained growth in an increasingly complex market environment.

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Section: Business Analytics and Big Datamentioning

confidence: 99%

Interdisciplinary Nature of Computational Science Cases in Business Studies

Husen,

Chowdhury

2023

Glob. discl. econ. bus.

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“…Network communication data from various IoT situations with and without malicious nodes must be acquired to create a highly generalizable neural network model (Mandapuram & Hosen, 2018). This was done using the Cooja IoT simulator to model IoT network communication scenarios.…”

Section: Iot Attack Simulationmentioning

confidence: 99%

Utilizing Deep Learning to Identify Potentially Dangerous Routing Attacks in the IoT

Desamsetti

2022

ABC j. adv. res.

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Due to the rapid increase of cyber-security difficulties brought about by sophisticated assaults such as data injection attacks, replay attacks, etc., the design of cyber-attack detection and control systems has emerged as an essential subfield within cyber-physical systems (CPSs) during the past few years. The outcome of these attacks could be a system failure, malfunctioning, or other undesirable effects. Consequently, it may be necessary to implement the cyber defense system in preparation for impending CPSs to have an improved security system. The various cyber-attack detection schemes based on deep learning algorithms have been intended to detect and mitigate the cyber-attacks that can be launched against CPSs, smart grids, power systems, and other similar infrastructure. This article comprehensively reviews several different deep learning algorithms suggested for use in CPSs to accomplish cyber defense. In the beginning, several methods devised by earlier academics are analyzed in great detail. After that, a comparison study is performed to determine the shortcomings of each algorithm and offer a recommendation for how further improvements to CPSs might be made more effectively.

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“…With IoT in play, businesses can collect real-time data, leading to streamlined operations and enhanced visibility throughout their organization. Despite existing bottlenecks encountered during adoption processes, successful integration of both IT requires robust collaborations driven by solid leaderships, all culminating towards improved efficiency and saving costs while fostering an unforgettable customer experience vital for long-term prosperity within such an ever-changing digital landscape (Mandapuram & Hosen, 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Empowering Organizations through IT and IoT in the Pursuit of Business Process Reengineering: The Scenario from the USA and Bangladesh

Kafi¹,

Adnan²

2022

Asian bus. rev.

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The current competitive environment demands that enterprises adopt changes that lead to market share and profitability expansion. One effective method businesses adopt is Business Process Reengineering (BPR). This entails redesigning business processes radically to realize significant progress on performance metrics. Information Technology (IT) is essential in enabling the successful implementation of BPR, although not exclusively singly accountable. It provides vital levers for simplifying tasks, institutional structural modification, work adaptations, and phenomenal achievements. IT remains pivotal alongside other factors that enable successful enterprise-wide change through strategically implemented BPR. Among other things, BTP promotes transformational capability through process optimization, task automation, and overall efficiency increment and catalyzes change within organizations. Utilizing IT in BPR initiatives unlocks fresh possibilities leading to phenomenal benefits such as superior productivity, streamlining of workflows, increased collaboration, and a remarkable improvement in performance. This piece exemplifies the importance of IT as a strategic tool when executing BP. It showcases its potential as a positive outcome driver in the dynamic business landscape.

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The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison

Cited by 30 publications

References 8 publications

Interdisciplinary Nature of Computational Science Cases in Business Studies

Interdisciplinary Nature of Computational Science Cases in Business Studies

Utilizing Deep Learning to Identify Potentially Dangerous Routing Attacks in the IoT

Empowering Organizations through IT and IoT in the Pursuit of Business Process Reengineering: The Scenario from the USA and Bangladesh

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