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Tailor-Made Academic-Phrases To Write An Impressive Document
In-brief: When writing a manuscript, it is essential that you follow a logical structure. Every section from the abstract to the conclusion requires appropriate language, voice, tense, and perspective to present your ideas. Following is a list of commonly used academic phrase tailored to every section of your manuscript.
By phd Assistance3 years ago in Education
The importance of identifying and formulating the research problem in food and nutrition study
In Brief: Formulating a food and nutrition research challenge has several advantages. The creation of a research problem precedes the start of the actual investigation. You become highly aware of the duties you must carry out to complete the investigation. You must follow a specific order to complete the process of research. You may create that order by using a food and nutrition research problem. Research problem also helps in avoiding pointless procedures in the research process.
By phd Assistance3 years ago in Education
PhD Research Opportunities on Internet of Things Logistics
Introduction As the Internet’s coverage expands, so does the number of physical items that may connect to it. By 2011, there were roughly 12.5 billion Internet-connected things, and with the arrival of 5G-Internet [3, it is expected to surpass 25 billion by the end of 2020 and 50 billion by the end of 2050 [1]. As a result, the Internet of Things (IoT) has gotten a lot of attention, especially in recent years, because it has led to significant changes in lifestyle as well as emerging technologies like Machine-to-Machine (M2M) communication [2], context-aware computing, and Radio Frequency Identification (RFID).
By phd Assistance3 years ago in Education
How to write a dissertation literature review
Literature review is an analysis of all available relevant literature to the field of study to provide a description, summary, explanation, or critical evaluation of a specific issue, theory, and/ or related concepts. The literature for the field study will include the previous dissertations in the given field, scholarly articles, journals, other scientific works, etc.
By phd Assistance3 years ago in Education
Methods of data collection in Social Science
Data collection is a time-consuming process of methodically acquiring information on a specific issue. Data collection can analyze historical and contemporary data regarding a specific subject. The material gathered must address the key issues surrounding the subject of interest, and it is conducted to assess the findings and prove hypotheses. Only high-quality data can result in reliable analysis and provide the necessary answers. As a result, complete honesty must be practised when gathering data.
By phd Assistance3 years ago in Education
Role of Machine learning (ML) techniques in IoT
According to market Research firm (Gartner, 2017), there will be 7.6 billion internet connected devices in businesses by 2020. It does not include the ubiquitous applications of IoT in the consumer space. Clive Humby, chief data scientist at Tesco claims that Industrial IoT could rake in US $ 14 trillion by 2030 (Rhena Helmus, 2019). The volume of data generated by IoT devices is tempting more and more companies to jump into the bandwagon. But the idea is still in infancy as companies need to figure out how to put the data to good use. Companies are exploring ways of moving IoT strategies from proof-of-concept to deployment. Since the social consequences of IoT have not been fully understood it is crucial for corporates to implement IoT strategies systematically. Machine Learning is indispensable while trying to incorporate IoT strategies.
By phd Assistance3 years ago in Education
Quality of Service in Wireless Sensor Networks using Machine Learning: Recent and Future Trends
Introduction WSNs, or wireless sensor networks, are extremely creative networks used for extensive deployments in challenging environments. Sensing and gathering environmental data, sensor nodes send this information to the sink node for further processing. The development of varied WSN applications is a difficult and demanding task. When designing a WSN, the designer must take into account a number of different factors, including localization, routing, Quality of Service (QoS), security, fault detection, anomaly detection, energy harvesting, event scheduling, data dependability, node clustering, and data aggregation (Pundir & Sandhu, 2021).
By phd Assistance3 years ago in Education
Critical Analysis of Research Design and data Collection
In Brief • Research design talks about the overall strategy that you choose to logically integrate the various elements of your research so to make sure that you deal with the research issues efficiently.
By phd Assistance3 years ago in Education
Techno Economic Socio Economic Scope for PhD students
Introduction A human standard of living has changed over the course of history. Incessant innovation has long been a characteristic of the human species. One such technological discovery which has undoubtedly proved to be a blessing to Mankind is the discovery of Electromagnetic Induction. The discovery of electromagnetic induction revolutionized how we use Energy.
By phd Assistance3 years ago in Education
The Contribution of Machine Learning in Cyber security
Introduction The benefits of artificial intelligence (AI) are now broadly acknowledged as a result of the increasing complexity of contemporary information systems and the resulting ever-increasing volume of big data. Particularly with the emergence of deep learning, machine learning (ML) technologies are already being used to address various real-world issues. Machine translation, travel and holiday suggestions, object identification and monitoring, and even varied applications in healthcare are fascinating examples of the practical successes of ML. Additionally, ML is correctly regarded as a technology enabler due to the significant potential it has demonstrated when used to autonomous vehicles or telecommunication networks (Zhang et al., 2022).
By phd Assistance3 years ago in Education
Systematic investigation of machine learning techniques for network intrusion detection
Introduction Network security has become a critical research area due to the current interest in and advancements in communications and internet technologies over the past ten years. It makes use of devices like firewalls, virus protection, and intrusion detection systems (IDS) to safeguard the security of a network and all of its connected assets within a cyberspace. Among these, the network-based intrusion detection system (NIDS) is the attack detection method that offers the needed protection by continuously scanning the network traffic for hostile and suspicious activity.
By phd Assistance3 years ago in Education
