Long short-term memory (LSTM) has transformed both machine learning and
neurocomputing fields. According to several online sources, this model has improved …

Clinical decisions are more promising and evidence-based, hence, big data analytics to
assist clinical decision-making has been expressed for a variety of clinical fields. Due to the …

Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …

Abstract Machine learning and deep learning play a crucial role in identification of various
diseases like neurological, skin, eyes, blood and cancers. The deep learning algorithms can …

Abstract Parkinson's disease (PD), a multi-system neurodegenerative disorder which affects
the brain slowly, is characterized by symptoms such as muscle stiffness, tremor in the limbs …

Handwritten Urdu character recognition system faces several challenges including the writer-
dependent variations and non-availability of benchmark databases for cursive writing …

Recent developments in recognition of cursive scripts rely on implicit feature extraction
methods that provide better results as compared to traditional hand-crafted feature extraction …

Identification of a person from his writing is one of the challenging problems; however, it is
not new. No one can repudiate its applications in a number of domains, such as forensic …

Biometric systems are playing a key role in the multitude of applications and placed at the
center of debate in the scientific research community. Among the numerous biometric …

In the area of pattern recognition and pattern matching, the methods based on deep learning
models have recently attracted several researchers by achieving magnificent performance …