Deepdetect: detection of distributed denial of service attacks using deep learning
At the advent of advanced wireless technology and contemporary computing paradigms,
Distributed Denial of Service (DDoS) attacks on Web-based services have not only increased …
Distributed Denial of Service (DDoS) attacks on Web-based services have not only increased …
Reliability and validity of the Hospital Anxiety and Depression Scale in an emergency department in Saudi Arabia: a cross-sectional observational study
ZA Al Aseri, MO Suriya, HA Hassan, M Hasan… - BMC emergency …, 2015 - Springer
Background Depression and anxiety are prevalent psychiatric comorbidities that are known
to have a negative impact on a patient’s general prognosis. But screening for these potential …
to have a negative impact on a patient’s general prognosis. But screening for these potential …
Emotion detection in roman urdu text using machine learning
Emotion detection is playing a very important role in our life. People express their emotions
in different ways ie face expression, gestures, speech, and text. This research focuses on …
in different ways ie face expression, gestures, speech, and text. This research focuses on …
Fake reviews classification using deep learning ensemble of shallow convolutions
Online reviews have a decisive impact on consumers’ purchasing decisions. This opens the
doors for spammers and scammers to post fake reviews for promoting non-existent products …
doors for spammers and scammers to post fake reviews for promoting non-existent products …
[HTML][HTML] Clinical manifestations and socio-demographic status of COVID-19 patients during the second-wave of pandemic: A Bangladeshi experience
…, MSR Saju, MR Hasan, UK Acharjee, MF Hasan - Journal of infection and …, 2021 - Elsevier
Background Bangladesh is a densely populated country with a substandard healthcare system
and a mediocre economic framework. Due to the enormous number of people who have …
and a mediocre economic framework. Due to the enormous number of people who have …
A deep learning framework for clickbait detection on social area network using natural language cues
Social networks are generating huge amounts of complex textual data which is becoming
increasingly difficult to process intelligently. Misinformation on social media networks, in the …
increasingly difficult to process intelligently. Misinformation on social media networks, in the …
Relationship identification between conversational agents using emotion analysis
Human relationships are influenced by the underlying emotions in their interactions. With the
increasing use of social networks, relationships from textual data can also be inferred from …
increasing use of social networks, relationships from textual data can also be inferred from …
Readmission of patients to hospital: still ill defined and poorly understood
M Hasan - International Journal for Quality in Health Care, 2001 - JSTOR
The need to improve our understanding of readmission of padents to hospitals after discharge
is becoming increasingly recognised. Hospital admission and readmission rates have …
is becoming increasingly recognised. Hospital admission and readmission rates have …
Deep-EmoRU: mining emotions from roman urdu text using deep learning ensemble
Detecting emotions play a vital role in our lives. In various ways, people convey their
feelings, ie, facial expressions, movements, speech, and text. This study aims to classify the …
feelings, ie, facial expressions, movements, speech, and text. This study aims to classify the …
Prevalence and associated factors of dental caries, gingivitis, and calculus deposits in school children of sargodha district, pakistan
Background: According to a pathfinder survey conducted by World Health Organization,
dental caries is the single most common chronic childhood disease in Pakistan. The update …
dental caries is the single most common chronic childhood disease in Pakistan. The update …