This paper proposes a multi-dimensional framework for classifying text documents. In this framework, the concept of multidimensional category model is introduced for representing classes. In contrast with traditional flat and hierarchical category models, the multi-dimensional category model classifies each text document in a collection using multiple predefined sets of categories, where each s...

In clinical holistic practice, it is recommended that ample time is spent with the gynecological or pelvic examination, especially in cases of women with suspected old emotional traumas following early childhood cases of incest or sexual abuse. The holistic principles of holding and processing should be followed with the purpose of healing the patient, re-establishing the natural relationship w...

Switzerland’s widely adopted spatial policy rejects the use of new land in favour promoting densification existing buildings or brownfield developments. However, to date there has not been an assessment volumetric building reserves that are still available within current regulatory framework. This paper addresses this lacuna using a case study agglomeration Lausanne. An automated model with par...

For achieving stringent design & performance objectives in energy systems, it becomes necessary to develop holistic integrated models as well as, ascertain the level of details required within each sub-system, for accurate physical description and system optimization. This requires multi-scale modeling, which involves description of atomistic, molecular, mesoscopic, continuum, device, and plant...

In industrial visual inspection, foreign matters are mostly fractal objects. Detailed detection of objects is difficult but necessary because better decision-making relies on more detailed and comprehensive information. This presents a challenge for applications. To solve this problem, we proposed holistic approach to object based multi-head model. We the IWS (Information Watch Study) module pr...

Glioblastoma multiforme (GBM) is a highly invasive primary brain tumour that has poor prognosis despite aggressive treatment. A hallmark of these tumours is diffuse invasion into the surrounding brain, necessitating a multi-modal treatment approach, including surgery, radiation and chemotherapy. We have previously demonstrated the ability of our model to predict radiographic response immediatel...

Perceptual categorization is a key problem for an agent to cope with its internal and external world. Following a functional and subjective approach of cognitive modeling, the primary purpose of perceptual categorization is modeled as the valuation of a stimulus regarding its potential to satisfy an agent's current needs. Additionally an integrated and holistic approach is used, where categoriz...

This paper provides an overview of recently developed two dimensional (2D) fragment-based QSAR methods as well as other multi-dimensional approaches. In particular, we present recent fragment-based QSAR methods such as fragment-similarity-based QSAR (FS-QSAR), fragment-based QSAR (FB-QSAR), Hologram QSAR (HQSAR), and top priority fragment QSAR in addition to 3D- and nD-QSAR methods such as comp...