Results 121 to 130 of about 102,917 (301)

Soft computing techniques applied to finance [PDF]

, 2008
Soft computing is progressively gaining presence in the financial world. The number of real and potential applications is very large and, accordingly, so is the presence of applied research papers in the literature.
Sáez, Yago, Mochón, Asunción, Quintana, David, Sáez Achaerandio, Yago, Quintana Montero, David, Isasi, Pedro, Isasi Viñuela, Pedro   +6 more
core   +1 more source

Performance Improvement of Processor Through Configurable Approximate Arithmetic Units in Multicore Systems

IEEE Access
Multicore systems are utilized in a wide range of applications, from embedded systems to high-performance applications. Controlling power consumption while maximizing performance under the Thermal Design Power (TDP) becomes increasingly important when ...
Seyed Ali Kashani Gharavi, Saeed Safari
doaj   +1 more source

The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers

Molecular Oncology, EarlyView.
The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce, Simone Bini, Marialuisa Sponziello, Giorgio Grani, Giulia Fiscon, Paola Paci, Lorenzo Farina, Rosa Falcone, Valentina Maggisano, Sebastiano Filetti, Cosimo Durante, Antonella Verrienti   +11 more
wiley   +1 more source

scaleTRIM: Scalable TRuncation-Based Integer Approximate Multiplier With Linearization and Compensation

IEEE Access
In this paper, we propose a scalable approximate multiplier design, scaleTRIM, that approximates the multiplication operation using fitted linear functions, also referred to as linearization.
Ebrahim Farahmand, Mohammad Javad Askarizadeh, Ali Mahani, Behnam Ghavami, Hassan Ghasemzadeh, Muhammad Abdullah Hanif, Muhammad Shafique   +6 more
doaj   +1 more source

TRAIL‐PEG‐Apt‐PLGA nanosystem as an aptamer‐targeted drug delivery system potential for triple‐negative breast cancer therapy using in vivo mouse model

Molecular Oncology, EarlyView.
Aptamers are used both therapeutically and as targeting agents in cancer treatment. We developed an aptamer‐targeted PLGA–TRAIL nanosystem that exhibited superior therapeutic efficacy in NOD/SCID breast cancer models. This nanosystem represents a novel biotechnological drug candidate for suppressing resistance development in breast cancer.
Gulen Melike Demirbolat, Aslihan Kucuk, Omer Erdogan, Samed Ozer, Bensu Kozan, Tugba Cuceli, Erkan Gumus, Evrim Cevik, Ozge Cevik   +8 more
wiley   +1 more source

Approximate Computing Methods for Embedded Machine Learning [PDF]

, 2019
Embedding Machine Learning enables integrating intelligence in recent application domains such as Internet of Things, portable healthcare systems, and wearable devices.
Chible H., Osta M., Saleh M., Valle M., Ibrahim A., ALAMEH, MOHAMAD   +5 more
core   +1 more source

Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies

Results in Engineering
Efficiency, low-power consumption, and real-time processing in embedded machine learning implementations are critical, particularly for models deployed in environments with large-scale data processing and resource-constrained environments.
Ayad M. Dalloo, Amjad J. Humaidi
doaj   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

Subtype‐specific enhancer RNAs define transcriptional regulators and prognosis in breast cancers

Molecular Oncology, EarlyView.
This study employed machine learning methodologies to perform the subtype‐specific classification of RNA‐seq data sets, which are mapped on enhancers from TCGA‐derived breast cancer patients. Their integration with gene expression (referred to as ProxCReAM eRNAs) and chromatin accessibility profiles has the potential to identify lineage‐specific and ...
Aamena Y. Patel, Peyman Zarrineh, Nathnael T. Tuffa, Jigar H. Sheth, Sumitra Mohan, Mudassar Iqbal, Sankari Nagarajan   +6 more
wiley   +1 more source

Efficient Approximate Recursive Multipliers (EARM) for Area and Power Optimized Image Processing Applications

IEEE Access
This paper proposes a novel approximate multiplier designed to improve efficiency in digital systems by exploiting controlled approximation while minimizing hardware requirements.
Kankanala Srinivas, Gundugonti Kishore Kumar   +1 more
doaj   +1 more source