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ABOUT AUTHOR

Dr. Arbab Akanda, a British born, HRM researcher and practitioner. Arbab Akanda became a Fellow of the Institute: CIPD, London in 2007.He is graduate in HRM from CIPD and became a member of the Institute and eventually a Fellow of the Institute. Arbab also has a Post-Graduation in HRM, Diploma in Personnel Management from Glasgow, a Law degree and a Masters in International Relations. ArbabAkanda obtained Doctor of Philosophy – PhD, in Social Science and Personnel Management from the Trinity College, UK.

A Fellow of the CIPD (UK) with proven adaptability, commitment, motivation, creativity and foresight. Continually evaluates own performance and makes decisions based on facts and uses own initiative for the organization and team. Well-developed managerial skills with excellent interpersonal, written and verbal communication skills and a keen learner.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

Which size to chose - EU vs US?

Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

What payment methods are available?

Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

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Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.

Do you offer gift wrapping?

Machine vision technology has been developed to track how fashions spread through society. The industry can now see the direct correlation on how fashion shows influence street-chic outfits. The effects can now be quantified and provide valuable feedback to fashion houses, designers and consumers regarding trends.